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You searched for subject:(Eigenfaces). Showing records 1 – 21 of 21 total matches.

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The Ohio State University

1. Yekollu, Srikar. Graph Based Regularization of Large Covariance Matrices.

Degree: MS, Computer Science and Engineering, 2009, The Ohio State University

  A range of successful techniques in computer vision, such as Eigenfaces and Fisherfaces are based on using the spectral decomposition of the empirical covariance… (more)

Subjects/Keywords: Artificial Intelligence; Computer Science; Statistics; Eigenfaces; Fisherfaces; banding; regularization; graph

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yekollu, S. (2009). Graph Based Regularization of Large Covariance Matrices. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1237243768

Chicago Manual of Style (16th Edition):

Yekollu, Srikar. “Graph Based Regularization of Large Covariance Matrices.” 2009. Masters Thesis, The Ohio State University. Accessed June 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237243768.

MLA Handbook (7th Edition):

Yekollu, Srikar. “Graph Based Regularization of Large Covariance Matrices.” 2009. Web. 18 Jun 2019.

Vancouver:

Yekollu S. Graph Based Regularization of Large Covariance Matrices. [Internet] [Masters thesis]. The Ohio State University; 2009. [cited 2019 Jun 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237243768.

Council of Science Editors:

Yekollu S. Graph Based Regularization of Large Covariance Matrices. [Masters Thesis]. The Ohio State University; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1237243768

2. Costa, Fernando Gil Abreu Mesquita da. Reconhecimento Expressões Faciais.

Degree: 2010, RCAAP

Dissertação de Mestrado em Engenharia Electrotécnica de Computadores

A expressão facial é uma forma de comunicação não-verbal que permite a partilha de sentimentos e emoções,… (more)

Subjects/Keywords: Reconhecimento facial; Expressões faciais; PCA; Eigenfaces; Facial recognition; Facial expression; Eigenface

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APA (6th Edition):

Costa, F. G. A. M. d. (2010). Reconhecimento Expressões Faciais. (Thesis). RCAAP. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:http://repositorio.utad.pt/:10348/634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Costa, Fernando Gil Abreu Mesquita da. “Reconhecimento Expressões Faciais.” 2010. Thesis, RCAAP. Accessed June 18, 2019. http://www.rcaap.pt/detail.jsp?id=oai:http://repositorio.utad.pt/:10348/634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Costa, Fernando Gil Abreu Mesquita da. “Reconhecimento Expressões Faciais.” 2010. Web. 18 Jun 2019.

Vancouver:

Costa FGAMd. Reconhecimento Expressões Faciais. [Internet] [Thesis]. RCAAP; 2010. [cited 2019 Jun 18]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:http://repositorio.utad.pt/:10348/634.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Costa FGAMd. Reconhecimento Expressões Faciais. [Thesis]. RCAAP; 2010. Available from: http://www.rcaap.pt/detail.jsp?id=oai:http://repositorio.utad.pt/:10348/634

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

3. Mikundová, Lea. Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře .

Degree: 2015, Brno University of Technology

 Tato bakalářská práce se zabývá rozpoznáním obličeje z kamerového systému umístěného na kvadrokoptéře. Teoretická část je rešerší současně nejpoužívanějších metod pro detekci a rozpoznání obličeje… (more)

Subjects/Keywords: biometrie; detekce obličeje; rozpoznání obličeje; kvadrokoptéra; OpenCV; Eigenfaces; FisherFaces; Local Binary Patterns Histograms; biometrics; face detection; face recognition; quadrocopter; OpenCV; Eigenfaces; FisherFaces; Local Binary Patterns Histograms

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APA (6th Edition):

Mikundová, L. (2015). Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/64162

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mikundová, Lea. “Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře .” 2015. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/64162.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mikundová, Lea. “Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře .” 2015. Web. 18 Jun 2019.

Vancouver:

Mikundová L. Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/64162.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mikundová L. Biometrické rozpoznávání 2D obličeje z kamerového systému umístěného na kvadrokoptéře . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/64162

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

4. Bureš, Václav. Detekce obličejů v obraze, nezávisle na natočení .

Degree: 2010, Brno University of Technology

 Práce se věnuje problematice detekce typově stejných objektů (konkrétně obličejů) v obraze. Následuje rozšíření popsaných metod o detekci objektů v různých natočeních. Naleznete zde stručný… (more)

Subjects/Keywords: Detekce obličejů; počítačové vidění; AdaBoost; EigenFaces; Histogram Of Gradients; Logical Binary Patterns; OpenCV; dataset; Face detection; computer vision; AdaBoost; EigenFaces; Histogram Of Gradients; Logical Binary Patterns; OpenCV; dataset

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APA (6th Edition):

Bureš, V. (2010). Detekce obličejů v obraze, nezávisle na natočení . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bureš, Václav. “Detekce obličejů v obraze, nezávisle na natočení .” 2010. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/55921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bureš, Václav. “Detekce obličejů v obraze, nezávisle na natočení .” 2010. Web. 18 Jun 2019.

Vancouver:

Bureš V. Detekce obličejů v obraze, nezávisle na natočení . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/55921.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bureš V. Detekce obličejů v obraze, nezávisle na natočení . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/55921

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Linköping University

5. Ilestrand, Maja. Automatic Eartag Recognition on Dairy Cows in Real Barn Environment.

Degree: Computer Vision, 2017, Linköping University

  All dairy cows in Europe wear unique identification tags in their ears. These eartags are standardized and contains the cows identification numbers, today only… (more)

Subjects/Keywords: OCR; object detection; object segmentation; template matching; SVM; kNN; eigenfaces; Signal Processing; Signalbehandling

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APA (6th Edition):

Ilestrand, M. (2017). Automatic Eartag Recognition on Dairy Cows in Real Barn Environment. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ilestrand, Maja. “Automatic Eartag Recognition on Dairy Cows in Real Barn Environment.” 2017. Thesis, Linköping University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ilestrand, Maja. “Automatic Eartag Recognition on Dairy Cows in Real Barn Environment.” 2017. Web. 18 Jun 2019.

Vancouver:

Ilestrand M. Automatic Eartag Recognition on Dairy Cows in Real Barn Environment. [Internet] [Thesis]. Linköping University; 2017. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139245.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ilestrand M. Automatic Eartag Recognition on Dairy Cows in Real Barn Environment. [Thesis]. Linköping University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139245

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


California State University – San Bernardino

6. Sierra, Brandon Luis. COMPARING AND IMPROVING FACIAL RECOGNITION METHOD.

Degree: MSin Computer Science, School of Computer Science and Engineering, 2017, California State University – San Bernardino

  Facial recognition is the process in which a sample face can be correctly identified by a machine amongst a group of different faces. With… (more)

Subjects/Keywords: Facial Recognition; Eigenfaces; Fisherfaces; Local Binary Pattern Histogram; Artificial Intelligence and Robotics; Computer Engineering; Computer Sciences; Other Computer Sciences

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APA (6th Edition):

Sierra, B. L. (2017). COMPARING AND IMPROVING FACIAL RECOGNITION METHOD. (Thesis). California State University – San Bernardino. Retrieved from http://scholarworks.lib.csusb.edu/etd/575

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sierra, Brandon Luis. “COMPARING AND IMPROVING FACIAL RECOGNITION METHOD.” 2017. Thesis, California State University – San Bernardino. Accessed June 18, 2019. http://scholarworks.lib.csusb.edu/etd/575.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sierra, Brandon Luis. “COMPARING AND IMPROVING FACIAL RECOGNITION METHOD.” 2017. Web. 18 Jun 2019.

Vancouver:

Sierra BL. COMPARING AND IMPROVING FACIAL RECOGNITION METHOD. [Internet] [Thesis]. California State University – San Bernardino; 2017. [cited 2019 Jun 18]. Available from: http://scholarworks.lib.csusb.edu/etd/575.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sierra BL. COMPARING AND IMPROVING FACIAL RECOGNITION METHOD. [Thesis]. California State University – San Bernardino; 2017. Available from: http://scholarworks.lib.csusb.edu/etd/575

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vilnius Gediminas Technical University

7. Balinskas, Justinas. Veido atpažinimo algoritmų tyrimas ir įgyvendinimas operacinėje Android sistemoje.

Degree: Master, Informatics Engineering, 2012, Vilnius Gediminas Technical University

Baigiamajame magistro darbe yra apžvelgti metodai, naudojami veidų atpažinimui bei išanalizuotas jų veikimas. Apžvelgus veidų atpažinimo metodus buvo pasirinkti trys algoritmai (tikrinių veidų, Fišerio veidų… (more)

Subjects/Keywords: Veidų atpažinimas; Tikriniai veidai; Android operacinė sistema; Veidų aptikimas; Įterptinėje sistemoje; Face recognition; Eigenfaces; Android operating system; Face detection; Embeded system

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APA (6th Edition):

Balinskas, Justinas. (2012). Veido atpažinimo algoritmų tyrimas ir įgyvendinimas operacinėje Android sistemoje. (Masters Thesis). Vilnius Gediminas Technical University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120726_163154-42863 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Balinskas, Justinas. “Veido atpažinimo algoritmų tyrimas ir įgyvendinimas operacinėje Android sistemoje.” 2012. Masters Thesis, Vilnius Gediminas Technical University. Accessed June 18, 2019. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120726_163154-42863 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Balinskas, Justinas. “Veido atpažinimo algoritmų tyrimas ir įgyvendinimas operacinėje Android sistemoje.” 2012. Web. 18 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Balinskas, Justinas. Veido atpažinimo algoritmų tyrimas ir įgyvendinimas operacinėje Android sistemoje. [Internet] [Masters thesis]. Vilnius Gediminas Technical University; 2012. [cited 2019 Jun 18]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120726_163154-42863 ;.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Balinskas, Justinas. Veido atpažinimo algoritmų tyrimas ir įgyvendinimas operacinėje Android sistemoje. [Masters Thesis]. Vilnius Gediminas Technical University; 2012. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20120726_163154-42863 ;

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Brno University of Technology

8. Hauser, Václav. Rozpoznávání obličejů v obraze .

Degree: 2012, Brno University of Technology

 Tato diplomová práce se zabývá problematikou detekce a rozpoznávání obličejů v obraze. Obsahem práce je popis využívaných metod detekce a rozpoznávání obličejů. Podrobněji je popsána… (more)

Subjects/Keywords: Detekce obličeje; rozpoznání obličeje; trénovací sekvence; testovací sekvence; eigenfaces; extrakce příznaků; klasifikátor; PCA; Viola & Jones; OpenCV; Face detection; face recognition; train sequence; test sequence; eigenfaces; feature extraction; classifier; PCA; Viola & Jones; OpenCV

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APA (6th Edition):

Hauser, V. (2012). Rozpoznávání obličejů v obraze . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/9023

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hauser, Václav. “Rozpoznávání obličejů v obraze .” 2012. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/9023.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hauser, Václav. “Rozpoznávání obličejů v obraze .” 2012. Web. 18 Jun 2019.

Vancouver:

Hauser V. Rozpoznávání obličejů v obraze . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/9023.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hauser V. Rozpoznávání obličejů v obraze . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/9023

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

9. Křepský, Jan. Rekurentní neuronové sítě v počítačovém vidění .

Degree: 2011, Brno University of Technology

 Práce se zabývá využitím rekurentních neuronových sítí v oblasti počítačového vidění. V teoretické části jsou popsány základní poznatky o umělých neuronových sítích se zaměřením na rekurentní architektury.… (more)

Subjects/Keywords: neuron; vícevrstvý perceptron; backpropagation; rekurentní neuronové sítě;  Elmanova síť; backpropagation through time; rozpoznávání obličejů; eigenfaces;  počítačové vidění; umělá inteligence; neuron; multilayer perceptron; backpropagation; recurrent neural networks;  Elman network; backpropagation through time; face recognition; eigenfaces;  computer vision; artificial intelligence

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APA (6th Edition):

Křepský, J. (2011). Rekurentní neuronové sítě v počítačovém vidění . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54172

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Křepský, Jan. “Rekurentní neuronové sítě v počítačovém vidění .” 2011. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/54172.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Křepský, Jan. “Rekurentní neuronové sítě v počítačovém vidění .” 2011. Web. 18 Jun 2019.

Vancouver:

Křepský J. Rekurentní neuronové sítě v počítačovém vidění . [Internet] [Thesis]. Brno University of Technology; 2011. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/54172.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Křepský J. Rekurentní neuronové sítě v počítačovém vidění . [Thesis]. Brno University of Technology; 2011. Available from: http://hdl.handle.net/11012/54172

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

10. Mendonça, Michelle Magalhães. Comparação entre métodos de normalização de iluminação utilizados para melhorar a taxa do reconhecimento facial.

Degree: Mestrado, Processamento de Sinais de Instrumentação, 2008, University of São Paulo

Condições distintas de iluminação numa imagem podem produzir representações desiguais do mesmo objeto, dificultando o processo de segmentação e reconhecimento de padrões, incluindo o reconhecimento… (more)

Subjects/Keywords: Artificial neural networks; Auto-faces; Eigenfaces; Face recognition; Illumination normalization methods; Métodos de normalização da iluminação; PCA; PCA; Reconhecimento facial; Redes neurais artificiais; Wavelets; Wavelets

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mendonça, M. M. (2008). Comparação entre métodos de normalização de iluminação utilizados para melhorar a taxa do reconhecimento facial. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18152/tde-04032009-145719/ ;

Chicago Manual of Style (16th Edition):

Mendonça, Michelle Magalhães. “Comparação entre métodos de normalização de iluminação utilizados para melhorar a taxa do reconhecimento facial.” 2008. Masters Thesis, University of São Paulo. Accessed June 18, 2019. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-04032009-145719/ ;.

MLA Handbook (7th Edition):

Mendonça, Michelle Magalhães. “Comparação entre métodos de normalização de iluminação utilizados para melhorar a taxa do reconhecimento facial.” 2008. Web. 18 Jun 2019.

Vancouver:

Mendonça MM. Comparação entre métodos de normalização de iluminação utilizados para melhorar a taxa do reconhecimento facial. [Internet] [Masters thesis]. University of São Paulo; 2008. [cited 2019 Jun 18]. Available from: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-04032009-145719/ ;.

Council of Science Editors:

Mendonça MM. Comparação entre métodos de normalização de iluminação utilizados para melhorar a taxa do reconhecimento facial. [Masters Thesis]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/18/18152/tde-04032009-145719/ ;

11. Habrman, David. Face Recognition with Preprocessing and Neural Networks.

Degree: Faculty of Science & Engineering, 2016, Linköping UniversityLinköping University

  Face recognition is the problem of identifying individuals in images. This thesis evaluates two methods used to determine if pairs of face images belong… (more)

Subjects/Keywords: CNN; neural network; convolutional neural network; face recognition; preprocessing; eigenfaces

…use of eigenfaces (a form of PCA) for face recognition. The second method uses… …eigenfaces in a preprocessing step as input to a neural network. This approach employs the same… …which is the reason they are called eigenfaces. The images are reshaped to vectors and the… …placed into the columns of a data matrix, A. The eigenfaces are the eigenvectors of the… …covariance matrix, C = AAT , corresponding to the largest eigenvalues. The eigenfaces are inserted… 

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APA (6th Edition):

Habrman, D. (2016). Face Recognition with Preprocessing and Neural Networks. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Habrman, David. “Face Recognition with Preprocessing and Neural Networks.” 2016. Thesis, Linköping UniversityLinköping University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Habrman, David. “Face Recognition with Preprocessing and Neural Networks.” 2016. Web. 18 Jun 2019.

Vancouver:

Habrman D. Face Recognition with Preprocessing and Neural Networks. [Internet] [Thesis]. Linköping UniversityLinköping University; 2016. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128704.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Habrman D. Face Recognition with Preprocessing and Neural Networks. [Thesis]. Linköping UniversityLinköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128704

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Korchakov, Sergei. Zpracování obrazu v systému Android - detekce a rozpoznání obličeje .

Degree: 2014, Brno University of Technology

 Tato diplomová práce se zabývá zpracováním obrazu v platformě Android, respektive vývojem mobilní aplikace, která je schopná provádět detekci a rozpoznávání obličejů v reálné scéně.… (more)

Subjects/Keywords: Detekce obličejů; rozpoznání obličejů; Java; Android; OpenCV; FaceDetector; FaceDetectionListener; Algoritmus Viola-Jones; Haarovy vlnky; filtrace obrazu; video stream; kamera; XML; FisherFaces; EigenFaces a Local Binary Patterns Histograms.; Face detection; face recognition; Java; Android; OpenCV; FaceDetector; FaceDetectionListener; Viola-Jones Algorithm; Haar wavelet; image filtration; video stream; camera; XML; FisherFaces; EigenFaces a Local Binary Patterns Histograms.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Korchakov, S. (2014). Zpracování obrazu v systému Android - detekce a rozpoznání obličeje . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/31324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Korchakov, Sergei. “Zpracování obrazu v systému Android - detekce a rozpoznání obličeje .” 2014. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/31324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Korchakov, Sergei. “Zpracování obrazu v systému Android - detekce a rozpoznání obličeje .” 2014. Web. 18 Jun 2019.

Vancouver:

Korchakov S. Zpracování obrazu v systému Android - detekce a rozpoznání obličeje . [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/31324.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Korchakov S. Zpracování obrazu v systému Android - detekce a rozpoznání obličeje . [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/31324

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

13. Ponzer, Martin. Detekce a rozpoznávání obličeje .

Degree: 2009, Brno University of Technology

 Tato práce popisuje základní metody detekce a rozpoznávání obličeje jak z obrázku, tak z videosekvence. Všechny metody jsou určeny pro barevné snímky a jsou založeny… (more)

Subjects/Keywords: Detekce kůže; barevný prostor; Gaussovo pravděpodobnostní rozložení; detekce obličeje; korelace; rozpoznávání; eigenfaces; Skin detection; color space; Gaussian distribution; face detection; correlation; face recognition; eigenfaces

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ponzer, M. (2009). Detekce a rozpoznávání obličeje . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/2006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ponzer, Martin. “Detekce a rozpoznávání obličeje .” 2009. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/2006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ponzer, Martin. “Detekce a rozpoznávání obličeje .” 2009. Web. 18 Jun 2019.

Vancouver:

Ponzer M. Detekce a rozpoznávání obličeje . [Internet] [Thesis]. Brno University of Technology; 2009. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/2006.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ponzer M. Detekce a rozpoznávání obličeje . [Thesis]. Brno University of Technology; 2009. Available from: http://hdl.handle.net/11012/2006

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

14. Dubský, Milan. Simulace biometrických zabezpečovacích systémů pracující na základě rozpoznávání tváře .

Degree: 2008, Brno University of Technology

 Zadáním této práce je navrhnout v prostředí Matlab-Simulink systém pro rozpoznávání tváře určitého člověka z množiny (databáze) tváří všech uživatelů systému. V rámci práce jsou… (more)

Subjects/Keywords: Detekce tváře; rozpoznávání tváře; barevná segmentace; porovnávání šablon; PCA; eigenfaces; obraz; Face detection; face recognition; colour segmentation; pattern matching; PCA; eigenfaces; image

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Dubský, M. (2008). Simulace biometrických zabezpečovacích systémů pracující na základě rozpoznávání tváře . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/16815

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dubský, Milan. “Simulace biometrických zabezpečovacích systémů pracující na základě rozpoznávání tváře .” 2008. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/16815.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dubský, Milan. “Simulace biometrických zabezpečovacích systémů pracující na základě rozpoznávání tváře .” 2008. Web. 18 Jun 2019.

Vancouver:

Dubský M. Simulace biometrických zabezpečovacích systémů pracující na základě rozpoznávání tváře . [Internet] [Thesis]. Brno University of Technology; 2008. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/16815.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dubský M. Simulace biometrických zabezpečovacích systémů pracující na základě rozpoznávání tváře . [Thesis]. Brno University of Technology; 2008. Available from: http://hdl.handle.net/11012/16815

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. Dahl, Dag. En jämförelse av Eigenface- och Fisherface-metoden tillämpade i en Raspberry Pi 2.

Degree: Computer and Electrical Engineering, 2016, Jönköping University

Syftet med rapporten är att visa möjligheten att använda Raspberry Pi 2 i ett ansiktsigenkänningssystem. Studien redogör för prestandaskillnader mellan Eigenface och Fisherfacemetoden. Studieförfattarna… (more)

Subjects/Keywords: Face recognition; Eigenfaces; Fisherfaces; Raspberry Pi 2; Python; OpenCV; OpenCV_contrib; psutil.; Ansiktsigenkänning; Eigenfaces; Fisherfaces; Raspberry Pi 2; Python; OpenCV; OpenCV_contrib; psutil; Embedded Systems; Inbäddad systemteknik

…OpenCV, OpenCV_contrib och PSUTIL. Eigenfaces och Fisherfaces beskrivs eftersom det är grunden… …använder sig av en PCA följt av en LDA och har därutav vissa likheter med Eigenfaces. LDA bygger… …som Haar Cascade, Fisherfaces och Eigenfaces. OpenCV inkluderar även bibliotek i form av… …kodbibliotek för igenkänningsalgoritmer, därtill Eigenfaces och Fisherfaces. Raspbian Raspbian är ett… …igenkänning av 22 testbilder. Varje stapel motsvarar en bild. Allmän testdata Testfall 1 Eigenfaces… 

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APA (6th Edition):

Dahl, D. (2016). En jämförelse av Eigenface- och Fisherface-metoden tillämpade i en Raspberry Pi 2. (Thesis). Jönköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-29795

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Dahl, Dag. “En jämförelse av Eigenface- och Fisherface-metoden tillämpade i en Raspberry Pi 2.” 2016. Thesis, Jönköping University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-29795.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Dahl, Dag. “En jämförelse av Eigenface- och Fisherface-metoden tillämpade i en Raspberry Pi 2.” 2016. Web. 18 Jun 2019.

Vancouver:

Dahl D. En jämförelse av Eigenface- och Fisherface-metoden tillämpade i en Raspberry Pi 2. [Internet] [Thesis]. Jönköping University; 2016. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-29795.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dahl D. En jämförelse av Eigenface- och Fisherface-metoden tillämpade i en Raspberry Pi 2. [Thesis]. Jönköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-29795

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade do Estado do Rio de Janeiro

16. Mauro de Amorim. Decomposição aleatória de matrizes aplicada ao reconhecimento de faces.

Degree: Master, 2013, Universidade do Estado do Rio de Janeiro

Métodos estocásticos oferecem uma poderosa ferramenta para a execução da compressão de dados e decomposições de matrizes. O método estocástico para decomposição de matrizes estudado… (more)

Subjects/Keywords: PROBABILIDADE E ESTATISTICA APLICADAS; Decomposição em valores singulares; Análise de componentes principais; Autofaces; Reconhecimento de faces; Decomposição aproximada de matrizes; Métodos estocásticos; Singular value decomposition; Principal component analysis; Eigenfaces; Face recognition; Approximate matrix decompositions; Stochastic methods

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APA (6th Edition):

Amorim, M. d. (2013). Decomposição aleatória de matrizes aplicada ao reconhecimento de faces. (Masters Thesis). Universidade do Estado do Rio de Janeiro. Retrieved from http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4819 ;

Chicago Manual of Style (16th Edition):

Amorim, Mauro de. “Decomposição aleatória de matrizes aplicada ao reconhecimento de faces.” 2013. Masters Thesis, Universidade do Estado do Rio de Janeiro. Accessed June 18, 2019. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4819 ;.

MLA Handbook (7th Edition):

Amorim, Mauro de. “Decomposição aleatória de matrizes aplicada ao reconhecimento de faces.” 2013. Web. 18 Jun 2019.

Vancouver:

Amorim Md. Decomposição aleatória de matrizes aplicada ao reconhecimento de faces. [Internet] [Masters thesis]. Universidade do Estado do Rio de Janeiro; 2013. [cited 2019 Jun 18]. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4819 ;.

Council of Science Editors:

Amorim Md. Decomposição aleatória de matrizes aplicada ao reconhecimento de faces. [Masters Thesis]. Universidade do Estado do Rio de Janeiro; 2013. Available from: http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=4819 ;

17. Björkeson, Felix. Autonomous Morphometrics using Depth Cameras for Object Classification and Identification.

Degree: The Institute of Technology, 2013, Linköping UniversityLinköping University

  Identification of individuals has been solved with many different solutions around the world, either using biometric data or external means of verification such as… (more)

Subjects/Keywords: Depth Cameras; Classification; Morhometrics; Homography; B-Spline; Eigenfaces; Fisherfaces; Local Binary Pattern Histograms; Nerual Network

…3.6 Face Recognition Methods . . . . . . . . 3.6.1 Eigenfaces… …4.6 Descriptor Analysis . . . . . . . . . . . . . . . 4.6.1 Eigenfaces… …possible. One of the first algorithms to really break through was the method of eigenfaces… …thereby its name eigenfaces. Note that it is called eigenfaces due to its primary application of… …frequently used as a baseline method when comparing performance of other systems. Eigenfaces is… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Björkeson, F. (2013). Autonomous Morphometrics using Depth Cameras for Object Classification and Identification. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Björkeson, Felix. “Autonomous Morphometrics using Depth Cameras for Object Classification and Identification.” 2013. Thesis, Linköping UniversityLinköping University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Björkeson, Felix. “Autonomous Morphometrics using Depth Cameras for Object Classification and Identification.” 2013. Web. 18 Jun 2019.

Vancouver:

Björkeson F. Autonomous Morphometrics using Depth Cameras for Object Classification and Identification. [Internet] [Thesis]. Linköping UniversityLinköping University; 2013. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95240.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Björkeson F. Autonomous Morphometrics using Depth Cameras for Object Classification and Identification. [Thesis]. Linköping UniversityLinköping University; 2013. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95240

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

18. Knapo, Peter. Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru .

Degree: 2009, Brno University of Technology

 Rozpoznávanie tvárí je komplexný proces, ktorého hlavným ciežom je rozpoznanie žudskej tváre v obrázku alebo vo video sekvencii. Najčastejšími aplikáciami sú sledovacie a identifikačné systémy.… (more)

Subjects/Keywords: Lokalizace obličeje; Rozpoznávání tváří; Algoritmus lokalizace obličeje na základě barvy lidské kůže; Rozpoznávání tváří s využitím Eigenfaces; PCA; Principal Component Analysis; Eigenfaces; Eigenvector; Eigenvalue; DSP procesor; Implementace v C; ADSP-BF561; EZ-KIT Lite; Číslicové zpracování obrazu.; Face detection; Face recognition; Skin color based face detection algorithm; Face recognition based on Eigenfaces; PCA; Principal Component Analysis; Eigenfaces; Eigenvector; Eigenvalue; DSP processor; C implementation; ADSP-BF561; EZ-KIT Lite; Digital image processing.

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APA (6th Edition):

Knapo, P. (2009). Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/7425

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Knapo, Peter. “Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru .” 2009. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/7425.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Knapo, Peter. “Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru .” 2009. Web. 18 Jun 2019.

Vancouver:

Knapo P. Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru . [Internet] [Thesis]. Brno University of Technology; 2009. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/7425.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Knapo P. Vývoj algoritmů pro digitální zpracování obrazu v reálním čase v DSP procesoru . [Thesis]. Brno University of Technology; 2009. Available from: http://hdl.handle.net/11012/7425

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

19. Svoboda, Pavel. Vyhledávání osob ve fotografii .

Degree: 2009, Brno University of Technology

 Základem rozpoznávání lidí ve fotografii je obecně počítačové vidění, které poskytuje metody a algoritmy pro samotnou implementaci. Některé z nich popisuje právě tato práce. Celý… (more)

Subjects/Keywords: Rozpoznávání obličeje; Eigenfaces; PCA - Principal Component Analysis; AdaBoost; SVD - Singular Value Decomposition; Neuronové sítě; ASM; AAM; Gaussovo rozložení; OpenCv; Face recognition; Eigenfaces; PCA - Principal Component Analysis; AdaBoost; SVD - Singular Value Decomposition; Neural networks; ASM; AAM; Gauss distribution; OpenCv

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APA (6th Edition):

Svoboda, P. (2009). Vyhledávání osob ve fotografii . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Svoboda, Pavel. “Vyhledávání osob ve fotografii .” 2009. Thesis, Brno University of Technology. Accessed June 18, 2019. http://hdl.handle.net/11012/53859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Svoboda, Pavel. “Vyhledávání osob ve fotografii .” 2009. Web. 18 Jun 2019.

Vancouver:

Svoboda P. Vyhledávání osob ve fotografii . [Internet] [Thesis]. Brno University of Technology; 2009. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11012/53859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Svoboda P. Vyhledávání osob ve fotografii . [Thesis]. Brno University of Technology; 2009. Available from: http://hdl.handle.net/11012/53859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Alrashed, H H. Detecting live person for the face recognition problem : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University .

Degree: 2016, Massey University

 Face recognition has been a challenging problem for computer vision scientists for the last few decades. Hence it was the center of attention for computer… (more)

Subjects/Keywords: Human face recognition; Computer vision; Face perception; Computer science; Face detection; Eigenfaces; OpenCV; Face anti-spoofing; Eye detection; Smile detection; Eye blinking detection; Research Subject Categories::TECHNOLOGY::Information technology::Image analysis

Eigenfaces and Fisherfaces with 9 images [11]… …Detection, Eigenfaces, OpenCV, Face Anti-Spoofing, Eye Detection, Smile Detection, Eye Blinking… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Alrashed, H. H. (2016). Detecting live person for the face recognition problem : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University . (Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/11072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alrashed, H H. “Detecting live person for the face recognition problem : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University .” 2016. Thesis, Massey University. Accessed June 18, 2019. http://hdl.handle.net/10179/11072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alrashed, H H. “Detecting live person for the face recognition problem : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University .” 2016. Web. 18 Jun 2019.

Vancouver:

Alrashed HH. Detecting live person for the face recognition problem : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University . [Internet] [Thesis]. Massey University; 2016. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10179/11072.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alrashed HH. Detecting live person for the face recognition problem : submitted in partial fulfilment of the requirements for the degree of Master of Information Sciences, Massey University . [Thesis]. Massey University; 2016. Available from: http://hdl.handle.net/10179/11072

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

21. Assaad, Firas Souhail. Biometric Multi-modal User Authentication System based on Ensemble Classifier.

Degree: MS, Engineering, 2014, University of Toledo

 User authentication performed through the traditional method of authorizing based on username and password results in the weakest link between users and their authentication credentials.… (more)

Subjects/Keywords: Bioinformatics; Computer Engineering; Computer Science; Artificial Intelligence; algorithm; authentication; biometric; classifier; credentials; eigenfaces; multi-modal; recognition; score level; fusion; MFCC; Viola Jones; LBG; Mel Frequency Cepstral Coefficients; voice print; Linde Buzo Gray; ELSDSR; Yale Extended; NIST FERET; Server client

…24 2-10 - Example of a Training Faces prepared for PCA Eigenfaces training [55]… …26 2-12 - Example of the Eigenfaces generated through the PCA-based Eigenfaces algorithm… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Assaad, F. S. (2014). Biometric Multi-modal User Authentication System based on Ensemble Classifier. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931

Chicago Manual of Style (16th Edition):

Assaad, Firas Souhail. “Biometric Multi-modal User Authentication System based on Ensemble Classifier.” 2014. Masters Thesis, University of Toledo. Accessed June 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931.

MLA Handbook (7th Edition):

Assaad, Firas Souhail. “Biometric Multi-modal User Authentication System based on Ensemble Classifier.” 2014. Web. 18 Jun 2019.

Vancouver:

Assaad FS. Biometric Multi-modal User Authentication System based on Ensemble Classifier. [Internet] [Masters thesis]. University of Toledo; 2014. [cited 2019 Jun 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931.

Council of Science Editors:

Assaad FS. Biometric Multi-modal User Authentication System based on Ensemble Classifier. [Masters Thesis]. University of Toledo; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1418074931

.