HITAM CV
Study the foundations and practical methods of computer vision, from pinhole cameras, radiometry, shading, color, filtering, Fourier analysis, edge detection, texture, and segmentation to pattern classification, clustering, dimensionality reduction, motion analysis, optical flow, tracking, and background modeling. Apply these concepts through hands-on image and video programs using modern computer vision tools.
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Segmentation by Clustering
Learn what image segmentation is and how perceptual grouping becomes a computational process. Explore human vision and Gestalt principles, shot-boundary detection, background subtraction, pixel clustering, and graph-theoretic clustering, then apply related texture extraction and pedestrian detection techniques through practical programs.
Module 2 of 2