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Computer Vision
Computer vision is the science and technology of teaching a computer to interpret images and video as well as a typical human. Technically, computer vision encompasses the fields of image/video processing, pattern recognition, biological vision, artificial intelligence, augmented reality, mathematical modeling, statistics, probability, optimization, 2D sensors, and photography.
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John Zelek
My current research focus is on producing 3D maps from cameras and depth sensors. These 3D maps can be used by robots (vehicles, UAVs) to navigate and localize or by people for various augmented applications. Other current interests include IOT (Internet of Things) within the context of artificial perception, wearables and augmented spaces.
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Alexander Wong
My research interests lie in the field of artificial intelligence and computational imaging, with a focus on scalable and explainable deep learning and computational biomedical imaging systems.
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Paul Fieguth
My research interests are in the area of accelerated computational methods applied to large statistical problems in image processing, computer vision, and remote sensing.
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David Clausi
My research interests are in the fields of computer vision, image processing, and pattern recognition with an emphasis on the automated interpretation of SAR (synthetic aperture radar) and biomedical imagery. I am an active interdisciplinary and multidisciplinary researcher, publishing refereed journal and conference papers in the diverse fields of remote sensing, computer vision, algorithm design,…
