सSaral Shiksha Yojna
Courses/Computer Vision

Computer Vision

CSE471
Prof. Makarand Tapaswi + Prof. Charu Sharma•Spring 2025-26•4 credits
Revision Notes/Unit 1 — Introduction & Foundations

Unit 1 — Introduction & Foundations

What is computer vision, why is it hard, and how do we even start? Marr's 'to know what is where, by looking'; the Three Rs (Reorganisation, Recognition, Reconstruction); Gestalt grouping; the semantic gap and intra-class variation; what the course assumes you know.

Foundations of Computer Vision — Marr, Three Rs, Gestalt, Why CV is Hard

10 min

Computer vision is the science of extracting meaning from images — answering the questions What? Where? Who? When? Why? How? and How many? from a 2D array of pixel intensities. The dirty secret of the field is that pixels are just numbers; everything else (objects, edges, intentions) must be COMPUTED. More than 50% of the human brain is devoted to vision because the problem is computationally vast, not because eyes are complicated.