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Skip to Search Results- 20Computer Vision
- 5Deep Learning
- 5Machine Learning
- 3Artificial Intelligence
- 23D Reconstruction
- 2Image Classification
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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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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 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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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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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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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...
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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...
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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...