You searched for +publisher:"Universiteit Utrecht" +contributor:("Veltkamp, R").
Showing records 1 – 6 of
6 total matches.
No search limiters apply to these results.
Universiteit Utrecht
1.
Barac, A.
Automatic conversion of scanned sea charts into 3D models.
Degree: 2012, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/255498 
► Automatic nautical chart recognition and interpretation is a research topic that has been going on for many years. Nautical chart digitization has a variety of…
(more)
▼ Automatic nautical chart recognition and interpretation is a research topic that has been going on for many years. Nautical chart digitization has a variety of applications in navigation or in the development of navigational software, but also in educational applications like 3D training simulators which require a realistic representation of the seabed and its surroundings. This thesis presents a study on converting 2D scanned nautical chart images into 3D models. It is an exploration of some of the possibilities and problems occurring when designing and implementing such a system.
In order to obtain a 3D model, the scanned sea chart images have to be digitized. In digitizing a scanned sea chart, one of the major challenges is to properly separate and identify symbols on the map. The approached method first separates the background and the foreground pixels with a threshold-based segmentation method applied on the gray-scale image and then identifies individual objects in the image by searching for all connected components in the segmented binary image.
Another challenge is the classification of individual objects. The study brings a solution for the classification of different types of objects in a sea chart, focusing on the proper classification of spot soundings. Geometrical features like area, center of gravity, bounding box, density, orientation are used to build innovative decision rules that classify objects into several types of lines, characters or other symbols. The spot soundings are later recognized and interpolated to create a 3D surface of the maritime terrain. Tesseract OCR engine is used for character recognition. The spot soundings are interpolated using a method called Inverse Distance Weighting with Natural Neighbors. The interpolation method assumes that nearby points should have a greater influence than further away points. The nearby points are the vertices of the Delaunay triangle containing the interpolated point and are called natural neighbors.
The result of this research is a complete system that converts 2D scanned images into 3D simulation models. However, the performance of the algorithm is not 100% correct. Some issues remain and can be improved by further work.
Advisors/Committee Members: Veltkamp, R..
Subjects/Keywords: sea chart; segmentation; classification; recognition; interpolation
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Barac, A. (2012). Automatic conversion of scanned sea charts into 3D models. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/255498
Chicago Manual of Style (16th Edition):
Barac, A. “Automatic conversion of scanned sea charts into 3D models.” 2012. Masters Thesis, Universiteit Utrecht. Accessed April 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/255498.
MLA Handbook (7th Edition):
Barac, A. “Automatic conversion of scanned sea charts into 3D models.” 2012. Web. 22 Apr 2021.
Vancouver:
Barac A. Automatic conversion of scanned sea charts into 3D models. [Internet] [Masters thesis]. Universiteit Utrecht; 2012. [cited 2021 Apr 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/255498.
Council of Science Editors:
Barac A. Automatic conversion of scanned sea charts into 3D models. [Masters Thesis]. Universiteit Utrecht; 2012. Available from: http://dspace.library.uu.nl:8080/handle/1874/255498
2.
Azadi, H.
Evaluation of Existing Methods for Earprint Recognition.
Degree: 2014, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/294127
► Ear as a part of human body has been used in forensic practice but the use of earprints as evidence in criminal trials remains arguable.…
(more)
▼ Ear as a part of human body has been used in forensic practice but the use of earprints as
evidence in criminal trials remains arguable. The Forensic Ear Identification (FearID) research
project was started in order to study the strength of evidence of earprints found on crime scenes.
A limited number of publications exist related to computerized methods used for earprint
identification. The study presented here compares existing methods for earprint image
identification. Two of them are point based methods that use Scale Invariant Feature Transform
(SIFT) and Curvature Scale Space (CSS) feature for recognition process. The other is
based on the image intensity value that compares two images by registration algorithm. We
applied two different similarity metrics for evaluating registration. All methods carried out on a
subset of FearID database. Equal error rate and hitlist behavior on our small dataset show that
CSS is not useful in earprint recognition whereas SIFT and image registration technique have
promising results.
Advisors/Committee Members: Veltkamp, R.
Subjects/Keywords: Earprint; SIFT; CSS; Image registration; Hitlist; Equal Error Rates
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Azadi, H. (2014). Evaluation of Existing Methods for Earprint Recognition. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/294127
Chicago Manual of Style (16th Edition):
Azadi, H. “Evaluation of Existing Methods for Earprint Recognition.” 2014. Masters Thesis, Universiteit Utrecht. Accessed April 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/294127.
MLA Handbook (7th Edition):
Azadi, H. “Evaluation of Existing Methods for Earprint Recognition.” 2014. Web. 22 Apr 2021.
Vancouver:
Azadi H. Evaluation of Existing Methods for Earprint Recognition. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Apr 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/294127.
Council of Science Editors:
Azadi H. Evaluation of Existing Methods for Earprint Recognition. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/294127
Universiteit Utrecht
3.
Roungas, V.
A model-driven framework for educational game design.
Degree: 2015, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/313519
► We developed a web-based framework, which enables serious game designers to create the Game Design Document (GDD) of a game. By combining predefined menus along…
(more)
▼ We developed a web-based framework, which enables serious game designers to create the Game Design Document (GDD) of a game. By combining predefined menus along with non-predefined elements, this framework aims at facilitating designers to design the GDD faster, with more structure and with all the necessary element a GDD should have.
The contributions of this framework with respect to regular GDDs is that it offers a more agile method for developing the document, due to its semi-structured environment, which offers more flexibility than a structured environment and more rigour than free text. Additionally, it’s a model-driven environment, which means that its development is based on a conceptual model of educational serious games. Finally, it offers innovative features, like hyperlinks to connect objects from the database with free text, a progress page where the designer can keep track of each aspect of the document and structured menus that connect objects from the database between them.
Advisors/Committee Members: Dalpiaz, F., Veltkamp, R..
Subjects/Keywords: Game Design Document; Game Design Framework; Game Design
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Roungas, V. (2015). A model-driven framework for educational game design. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/313519
Chicago Manual of Style (16th Edition):
Roungas, V. “A model-driven framework for educational game design.” 2015. Masters Thesis, Universiteit Utrecht. Accessed April 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/313519.
MLA Handbook (7th Edition):
Roungas, V. “A model-driven framework for educational game design.” 2015. Web. 22 Apr 2021.
Vancouver:
Roungas V. A model-driven framework for educational game design. [Internet] [Masters thesis]. Universiteit Utrecht; 2015. [cited 2021 Apr 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/313519.
Council of Science Editors:
Roungas V. A model-driven framework for educational game design. [Masters Thesis]. Universiteit Utrecht; 2015. Available from: http://dspace.library.uu.nl:8080/handle/1874/313519
4.
Koetzier, M.
3D Hand Tracking Using Depth Sensors.
Degree: 2014, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/291559
► In recent years depth sensors have been used to interpret user gestures and tracking motions of people. This has opened doors for many Human Computer…
(more)
▼ In recent years depth sensors have been used to interpret user gestures and tracking motions
of people. This has opened doors for many Human Computer Interaction (HCI) related
applications, for instance in the fields of gaming, virtual reality, medical assistance and human
behavioural studies. Ideally, a significant part of gesture interpretation within the HCI domain
are based on hand gestures. While many sensors already provide full body pose recognition,
full hand pose recognition using a depth sensor still requires a lot of development and overall
improvement in terms of accuracy and speed. In this project we seek improvement over
such an available system. We will develop our own hand tracking system that estimates the
complete 3D pose of a single isolated hand in near real-time. The system requires a single
RGB-D camera. The 3D pose of the hand will be modelled using a hand model that can be
manipulated with 27 parameters. We deliver the analysis of the performance of the system. In
order to make the system work in near real-time we use hardware acceleration by developing
a GPU implementation. For the evaluation, we have created a dataset using the SoftKinetic
sensor. The behaviour of the hand tracking system will be analysed on this dataset, which
includes several different hand gestures. Beside the quantitative evaluation of our system
we will compare our system with other commercial systems. We prove the system works for
simple gestures like waving and grasping, but it seems impossible to have a fully working
system in cases were occlusions of either the fingers or the palm occur. Some gestures, in
particular the ones where occlusions come into existence, can not be accurately tracked by
the method.
Advisors/Committee Members: Veltkamp, R., Tan, R..
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Koetzier, M. (2014). 3D Hand Tracking Using Depth Sensors. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/291559
Chicago Manual of Style (16th Edition):
Koetzier, M. “3D Hand Tracking Using Depth Sensors.” 2014. Masters Thesis, Universiteit Utrecht. Accessed April 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/291559.
MLA Handbook (7th Edition):
Koetzier, M. “3D Hand Tracking Using Depth Sensors.” 2014. Web. 22 Apr 2021.
Vancouver:
Koetzier M. 3D Hand Tracking Using Depth Sensors. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Apr 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/291559.
Council of Science Editors:
Koetzier M. 3D Hand Tracking Using Depth Sensors. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/291559
Universiteit Utrecht
5.
Deiman, J.
Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.
Degree: 2016, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/334268
► The Netherlands Aerospace Centre (NLR) has a virtual reality setup which allows users to experience an airplane fly-over with realistically simulated sound. They want to…
(more)
▼ The Netherlands Aerospace Centre (NLR) has a virtual reality setup which allows users to experience an airplane fly-over with realistically simulated sound. They want to move from using static imagery for the surrounding to video. On top of this, they want to be able to have some form of control over the scenario that they have filmed. This thesis describes a method of automatic detection and segmentation of cars in equirectangular panoramic 360-degree videos by first tracking connected components during an online phase, and doing post processing to enhance the tracks. This will allow the NLR to remove cars from their videos, and replay them at specified times to create custom videos from a single source video. A user study and an objective study have been conducted to determine the quality of the method. The user study has shown that while videos with replayed vehicles are of lower quality than the originals, the custom videos are still acceptable to the majority of users. The objective study shows that the overall accuracy of the method (including replayable cars not used in the user study videos) is not acceptable for a large number of cars. However, as long as there are at least a few usable detections, custom videos can still be produced.
Advisors/Committee Members: Poppe, R., Veltkamp, R., Aalmoes, R., Lania, H..
Subjects/Keywords: object detection; object tracking; object segmentation; inpainting; virtual reality; panoramic video
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Deiman, J. (2016). Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/334268
Chicago Manual of Style (16th Edition):
Deiman, J. “Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.” 2016. Masters Thesis, Universiteit Utrecht. Accessed April 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/334268.
MLA Handbook (7th Edition):
Deiman, J. “Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality.” 2016. Web. 22 Apr 2021.
Vancouver:
Deiman J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. [Internet] [Masters thesis]. Universiteit Utrecht; 2016. [cited 2021 Apr 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/334268.
Council of Science Editors:
Deiman J. Automatic Tracking, Segmentation, Removal and Replay of Traffic in Panoramic 360-Degree Videos for Virtual Reality. [Masters Thesis]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/334268
6.
Gubbels, R.
Text Detection using Coarse detection and SVM
Classification.
Degree: 2014, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/296615
► In this paper a new approach to detect text in natural images is described using different detection methods. The end result will be that the…
(more)
▼ In this paper a new approach to detect text in natural images is described using different detection methods. The end result will be that the text will be segmented from the image and can be used for different purposes. The approach is split up in two parts, a coarse detection step to extract patches from the image and a fine detection step that uses feature descriptors and a support vector machine in order to increase the precision of the coarse detection step. The methods used for the coarse detection are global threshold, mean threshold, Gaussian threshold, local binary pattern, maximum gradient difference filter and maximum difference filter. These methods are compared and the best results are used in combination with the fine detection. The feature descriptors used in the fine detection are Histogram of Oriented Gradients, Co-occurrence histogram of orientated gradients and local binary patterns. In order to increase the quality of the coarse detection a projection step is used. The approach performs on precision level worse than the current state-of-the-art methods, but has a better recall rate than most methods.
Advisors/Committee Members: Veltkamp, R, Tan, R, Fu, Z.
Subjects/Keywords: Text detection; Histogram of Orientated Gradients; Coarse-to-fine schema; Support Vector Machines; thresholds
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Gubbels, R. (2014). Text Detection using Coarse detection and SVM
Classification. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/296615
Chicago Manual of Style (16th Edition):
Gubbels, R. “Text Detection using Coarse detection and SVM
Classification.” 2014. Masters Thesis, Universiteit Utrecht. Accessed April 22, 2021.
http://dspace.library.uu.nl:8080/handle/1874/296615.
MLA Handbook (7th Edition):
Gubbels, R. “Text Detection using Coarse detection and SVM
Classification.” 2014. Web. 22 Apr 2021.
Vancouver:
Gubbels R. Text Detection using Coarse detection and SVM
Classification. [Internet] [Masters thesis]. Universiteit Utrecht; 2014. [cited 2021 Apr 22].
Available from: http://dspace.library.uu.nl:8080/handle/1874/296615.
Council of Science Editors:
Gubbels R. Text Detection using Coarse detection and SVM
Classification. [Masters Thesis]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/296615
. 
Open Access Theses and Dissertations
