TIME : Spring 2016

This is a graduate level course in computer vision covering selected topics in computer vision. Initial lectures will cover fundamental topics in computer vision, and these are complemented by recent papers. Topics include: image formation, shape from shading, camera calibration and multiview geometry, optic flow and structure from motion, segmentation and tracking, feature extraction with applications to face detection, recognition, human activity analysis, visual search and retrieval.Discussions will be based on selected articles (recently published journal and conference articles).

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