This is a decommissioned version of ERA which is running to enable completion of migration processes. All new collections and items and all edits to existing items should go to our new ERA instance at https://ualberta.scholaris.ca - Please contact us at erahelp@ualberta.ca for assistance!
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
- 39Computer Vision
- 10Machine Learning
- 9Deep Learning
- 4Convolutional Neural Networks
- 4Robotics
- 33D Reconstruction
-
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...
-
Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...
-
Fall 2023
Many works of art are created through the process of an artist sketching and then incrementally increasing the fidelity of the artwork. This requires significant amounts of work and effort throughout, but not all steps require the same amount of artistic input. Certain parts only require...
-
Spring 2021
Surgical design and simulation uses Computer Aided Design (CAD)/Computer Aided Manufacturing (CAM) software to virtually plan for jaw reconstructive surgery. One part of the process includes the design of a dental prosthesis with the use of an articulator. The articulator is limited in its...
-
Fall 2024
In this thesis, we investigate the problem of robustness and resilience in simultaneous localization and mapping systems (SLAM). With the vast adoption of robotics in many industries and disciplines, robustness and resilience are becoming of immense importance for the reliable and safe deployment...
-
Towards efficient search methods in object tracking: An evaluation and application to precise tracking
DownloadFall 2015
Object tracking is a much researched subject in the computer vision community. With more and more tracking algorithms reported every year, standard benchmarking and evaluation methods are reported for long term tracking systems. We present a public dataset to evaluate trackers used for human and...
-
Fall 2021
In Activities of Daily Living (ADLs), humans perform thousands of arm and hand object manipulation tasks, such as picking, pouring and drinking a drink. Interpreting such tasks and grasping the underlying concepts of manipulation from vision is straightforward for humans, but difficult for...
-
V-CoHOG: Volumetric Co-occurrence Histograms of Oriented Gradients for Texture Classification in Medical Imaging
DownloadFall 2022
Image textures, which are properties that can describe the pixel intensities of an image, have been analyzed in order to perform a variety of tasks, including segmentation and classification. Features derived from textures which are invariant to changes such as contrast and transformations are of...
-
Vision-assisted behavior-based construction safety: Integrating computer vision and natural language processing
DownloadFall 2023
Background: Construction sites can be hazardous places. Behavior-based safety is a method to optimize workers’ behaviors and improve site safety. Previous behavior-based safety has been criticized for their low efficiency because of manual observation. The community has conducted enormous studies...