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Online Course

Computer Vision

Indian Institute of Technology, Kharagpur and NPTEL via Swayam

21

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Overview

The course will have a comprehensive coverage of theory and computation related to imaging geometry, and scene understanding. It will also provide exposure to clustering, classification and deep learning techniques applied in this area.

INTENDED AUDIENCE: Computer Science and Engineering, Electronics Engineering, Electrical Engineering PRE-REQUISITES: Liner Algebra, Vector Calculus, Data Structures and Programming

Syllabus

COURSE LAYOUT

Week 1: Fundamentals of Image processing
Week 2: 2-D Projective Geometry, homography, and Properties of homography
Week 3: Camera geometry
Week 4: Stereo geometry
Week 5: Stereo geometry
Week 6: Feature detection and description
Week 7: Feature matching and model fitting
Week 8: Color processing
Week 9: Range image processing
Week 10: Clustering and classification
Week 11: Dimensionality reduction and sparse representation
Week 12: Deep neural architecture and applications

Taught by

Prof. Jayanta Mukhopadhyay

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