ESE 358

Computer Vision

Stony Brook University · UGRD · Fall 2026

1 section
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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.

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Class #stony_brook-ESE358Fall 2026UGRD3 credits
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