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- 7Deep Learning
- 4Convolutional Neural Networks
- 33D Reconstruction
- 3Artificial Intelligence
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Machine Learning for Robust Tracking of Interface Level Inside a Primary Separation Vessel in the Presence of Occlusions and Noise
DownloadSpring 2021
A Primary Separation Vessel (PSV), used in the oil sands industry, is an important process equipment, where Bitumen is separated from the oil sand using a density based separation process. The interface level between a bitumen rich layer (froth) and a layer that has moderate amounts of bitumen in...
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Fall 2022
Deep neural networks (DNN) have emerged as the state-of-the-art method in several research areas. DNN is yet to fully permeate resource-constrained computing platforms, such as mobile phones. Accurate DNN models being deeper and wider take considerable memory and time to execute on small devices...
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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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Fall 2015
Real-time control of visual display systems via mid-air hand gestures offers many advantages over traditional interaction modalities. In medicine, for example, it allows a practitioner to adjust display values, e.g. contrast or zoom, on a medical visualization interface without the need to...
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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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Fall 2011
Pinball is fast-paced arcade-style game of which the origins date back hundreds of years. Game playing robots exist for billiards, foosball, and soccer and each have their own unique challenges. The speed that balls move in pinball machines requires that players have quick reactions. We created...
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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...
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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...
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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...
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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...