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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 9Computer Vision
- 2Machine Learning
- 13D Reconstruction
- 13D reconstruction
- 1Action Quality Assessment
- 1Back
- 3Cheng, Li (Electrical and Computer Engineering)
- 1Cheng, Li (Department of Electrical and Computer Engineering)
- 1Cheng,Li (Electrical and Computer Engineering)
- 1Durdle, Nelson (Electrical and Computer Engineering)
- 1Jagersand, Martin (Computing Science)
- 1Joseph, Dileepan (Electrical and Computer Science)
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Spring 2023
3D reconstruction of quadruped animals is a challenging problem, where key issues lie in their large shape variety and deformation within the same animal species as well as the lack of sufficient training data. In this thesis, we present two approaches toward this task. Our first approach is a...
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Spring 2010
Micropalaeontology, a discipline that contributes to climate research and hydrocarbon exploration, is driven by the taxonomic analysis of huge volumes of microfossils. Unfortunately, this repetitive analysis is a serious bottleneck to progress because it depends on the scarce time of experts....
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Computer Vision-Based Motion Control and State Estimation for Unmanned Aerial Vehicles (UAVs)
DownloadSpring 2018
To achieve a fully autonomous unmanned aerial vehicle (UAV) the vehicle needs a high level of self awareness. At a minimum it needs to know where it is and where it wants to go. Computer vision (CV) is a logical solution to this problem. However, using CV to solve motion control problems for UAVs...
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Fall 2024
Deep learning-based segmentation plays a crucial role in computer and robot vision. Traditional approaches have predominantly relied on RGB (i.e., color) imagery, given its widespread availability and usage. However, the innate issues with color imagery, such as cluttered backgrounds and poor...
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Spring 2024
Human pose estimation and shape modeling serve as critical elements in a wide range of computer vision applications. While most existing research employs RGB cameras for their accessibility and cost-effectiveness, emerging camera technologies and imaging modalities are relatively underexplored....
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Spring 2022
Can AI-driven robots replace sports officials and rehabilitation physicians in assessing the quality of human activities? An AI judging panel can attend to every nuance of an athlete’s performance and bring more just and agility in scoring. The subjectivity of the judging will be removed and no...
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Fall 2011
This thesis presents the research and development of a novel procedure for creating a 3D image of the back using stereo digital 2D images. The procedure requires minimal user input and is intuitive. The procedure is comprised of 3 stages – image data acquisition, image registration and image...
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Spring 2016
Technical computing is a cornerstone of modern scientific practice. Within technical computing, the matrix-vector (MV) framework, composed of MV algebra and MV software, dominates the discipline in representing and manipulating linear mappings applied to vectors. Indeed, prominent technical...
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Robust and Accurate Generic Visual Object Tracking Using Deep Neural Networks in Unconstrained Environments
DownloadSpring 2022
The availability of affordable cameras and video-sharing platforms have provided a massive amount of low-cost videos. Automatic tracking of objects of interest in these videos is the essential step for complex visual analyses. As a fundamental computer vision task, Visual Object Tracking aims at...