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Skip to Search Results- 39Computer Vision
- 10Machine Learning
- 9Deep Learning
- 4Convolutional Neural Networks
- 4Robotics
- 33D Reconstruction
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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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Learning Deep Representations, Embeddings and Codes from the Pixel Level of Natural and Medical Images
DownloadFall 2013
Significant research has gone into engineering representations that can identify high-level semantic structure in images, such as objects, people, events and scenes. Recently there has been a shift towards learning representations of images either on top of dense features or directly from the...
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Spring 2019
3D reconstruction is an important topic in both computer vision and computer graphics. Many techniques have been proposed for objects with Lambertian reflectance. It assumes that the reflected light from the object surface is uniformly distributed in all directions. However, light interacts with...
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Spring 2023
Simultaneous Localization and Mapping(SLAM) has been very popular in the past and is gaining more traction in the era of autonomous vehicle research and robot manipulation. Computing accurate surface models from sparse Visual SLAM 3D point clouds is difcult. There have been works where...
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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...