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Multiresolution Techniques
The VIP lab has a particularly extensive history with multiresolution methods, and a significant number of research students have explored this theme. Multiresolution methods are very broad, essentially meaning than an image or video is modeled, represented, or features extracted on more than one scale, somehow allowing both local and non-local phenomena.
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Image Segmentation/Classification
Extracting information from a digital image often depends on first identifying desired objects or breaking down the image into homogenous regions (a process called ‘segmentation’) and then assigning these objects to particular classes (a process called ‘classification’). This is a fundamental part of computer vision, combining image processing and pattern recognition techniques.
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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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Biomedical Imaging
The current plethora of imaging technologies such as magnetic resonance imaging (MR), computed tomography (CT), position emission tomography (PET), optical coherence tomography (OCT), and ultrasound provide great insight into the different anatomical and functional processes of the human body.
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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,…
