Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(Global Image Features). Showing records 1 – 3 of 3 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters

1. Varytimidis, Christos. Ανίχνευση τοπικών χαρακτηριστικών για ανάκτηση οπτικής πληροφορίας.

Degree: 2016, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

Low-level image analysis offers an intermediate image representation that is used by high-level computer vision algorithms (e.g. object detection and recognition, image and video retrieval, image matching). Local features extracted as regions of interest, or spatio-temporal interest points extracted from videos, combined with local descriptors, as well as global descriptors, offer a compact representation of visual information. Despite the fact that many local feature detectors have been proposed recently, this field of research is still open to new methods, as new and more complex application fields are introduced. Lately, the interest of the computer vision community has focused on deep neural networks, based on recent results in image classification tasks.We propose an new local feature detector, based on geometric constructions. In particular, we propose using α-shapes to describe the shape of a set of points sampled on an image. Given the point set, α-shapes describe image objects in different scales and with different level of detail.For image sampling, we propose two different approaches: sampling on image edges and sampling using error diffusion. For sampling image edges, we propose a method that exploits the local affine shape in order to adapt sampling density, as well as a baseline method that uses fixed density sampling. We also propose sampling using error diffusion on two different functions of image intensity. The first one is based on first-order derivatives of image intensity (gradient strength), while the second one is based on second-order derivatives (Hessian response).We use different triangulations of the samples and different α-shapes, and propose the anisotropically weighted α-shapes that exploit the local shape of each simplex of the triangulation. For selecting regions of interest, we propose different importance measures for the connected components of α-shapes. We qualitatively and quantitatively evaluate the proposed local feature extraction algorithm, under all proposed variations for each algorithm step. Our detector extracts a relatively small number of features from image regions that correspond to highly repeatable object parts. Its performance exceeds the state-of-the-art in most cases.We also propose an efficient method for describing video clips, using deep neural networks.We segment videos in shots, using a novel method that exploits a global “objectness” measure.For describing video frames, we exploit neural networks feature maps, and then aggregate the responses to create a single descriptor for the video shot. We evaluate the proposed method on a surgical video retrieval experiment, where other methods based on local features are outperformed.

Η ανάλυση εικόνων και βίντεο βασίζεται στην ανάπτυξη τεχνικών που εξάγουν οπτικά χαρακτηριστικά και δημιουργούν ενδιάμεσες αναπαραστάσεις, για την επίλυση της ανίχνευσης και αναγνώρισης αντικειμένων, της αναζήτησης και ανάκτησης εικόνων και άλλων σύνθετων προβλημάτων. Η εξαγωγή τοπικών χαρακτηριστικών για τον εντοπισμό περιοχών…

Subjects/Keywords: Τοπικά χαρακτηριστικά; Καθολικοί περιγραφείς; Ανάκτηση εικόνων; Ανάκτηση βίντεο; Local features; Global descriptors; Image retrieval; Video retrieval

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Varytimidis, C. (2016). Ανίχνευση τοπικών χαρακτηριστικών για ανάκτηση οπτικής πληροφορίας. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/37294

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):

Varytimidis, Christos. “Ανίχνευση τοπικών χαρακτηριστικών για ανάκτηση οπτικής πληροφορίας.” 2016. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed November 20, 2019. http://hdl.handle.net/10442/hedi/37294.

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

MLA Handbook (7th Edition):

Varytimidis, Christos. “Ανίχνευση τοπικών χαρακτηριστικών για ανάκτηση οπτικής πληροφορίας.” 2016. Web. 20 Nov 2019.

Vancouver:

Varytimidis C. Ανίχνευση τοπικών χαρακτηριστικών για ανάκτηση οπτικής πληροφορίας. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2016. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/10442/hedi/37294.

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

Council of Science Editors:

Varytimidis C. Ανίχνευση τοπικών χαρακτηριστικών για ανάκτηση οπτικής πληροφορίας. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2016. Available from: http://hdl.handle.net/10442/hedi/37294

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


Indian Institute of Science

2. Mukundan, R. Image Based Attitude And Position Estimation Using Moment Functions.

Degree: 1995, Indian Institute of Science

Subjects/Keywords: Computer Vision - Mathematical Models; Image Processing - Mathematical Models; Image Moments; Moment Functions; Global Image Features; Moment Invariants; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mukundan, R. (1995). Image Based Attitude And Position Estimation Using Moment Functions. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1733

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):

Mukundan, R. “Image Based Attitude And Position Estimation Using Moment Functions.” 1995. Thesis, Indian Institute of Science. Accessed November 20, 2019. http://hdl.handle.net/2005/1733.

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

MLA Handbook (7th Edition):

Mukundan, R. “Image Based Attitude And Position Estimation Using Moment Functions.” 1995. Web. 20 Nov 2019.

Vancouver:

Mukundan R. Image Based Attitude And Position Estimation Using Moment Functions. [Internet] [Thesis]. Indian Institute of Science; 1995. [cited 2019 Nov 20]. Available from: http://hdl.handle.net/2005/1733.

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

Council of Science Editors:

Mukundan R. Image Based Attitude And Position Estimation Using Moment Functions. [Thesis]. Indian Institute of Science; 1995. Available from: http://hdl.handle.net/2005/1733

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


Indian Institute of Science

3. Mukundan, R. Image Based Attitude And Position Estimation Using Moment Functions.

Degree: 1995, Indian Institute of Science

Subjects/Keywords: Computer Vision - Mathematical Models; Image Processing - Mathematical Models; Image Moments; Moment Functions; Global Image Features; Moment Invariants; Computer Science

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mukundan, R. (1995). Image Based Attitude And Position Estimation Using Moment Functions. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/1733 ; http://etd.ncsi.iisc.ernet.in/abstracts/2226/G14232-Abs.pdf

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):

Mukundan, R. “Image Based Attitude And Position Estimation Using Moment Functions.” 1995. Thesis, Indian Institute of Science. Accessed November 20, 2019. http://etd.iisc.ernet.in/handle/2005/1733 ; http://etd.ncsi.iisc.ernet.in/abstracts/2226/G14232-Abs.pdf.

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

MLA Handbook (7th Edition):

Mukundan, R. “Image Based Attitude And Position Estimation Using Moment Functions.” 1995. Web. 20 Nov 2019.

Vancouver:

Mukundan R. Image Based Attitude And Position Estimation Using Moment Functions. [Internet] [Thesis]. Indian Institute of Science; 1995. [cited 2019 Nov 20]. Available from: http://etd.iisc.ernet.in/handle/2005/1733 ; http://etd.ncsi.iisc.ernet.in/abstracts/2226/G14232-Abs.pdf.

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

Council of Science Editors:

Mukundan R. Image Based Attitude And Position Estimation Using Moment Functions. [Thesis]. Indian Institute of Science; 1995. Available from: http://etd.iisc.ernet.in/handle/2005/1733 ; http://etd.ncsi.iisc.ernet.in/abstracts/2226/G14232-Abs.pdf

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

.