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ESE 358

Computer Vision

Stony Brook University 3 credits ESE

Course Description

Introduces fundamental concepts, algorithms, computational techniques, and applications in visual information processing. Covers image formation models and image filtering, binary image analysis, feature detection, contours, image segmentation, 3D image capture and analysis through stereo, motion, structured-light, and LIDAR, medical images, pattern classification, machine learning, and 3D object recognition. 3 credits Prerequisite: ESE 305 ; ESE 224 or CSE 230

Code
ESE 358
Credits
3
Subject
ESE

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