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University of Central Florida

Stereo Vision and Depth Perception in Computer Vision - Lecture 16

University of Central Florida via YouTube

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Overview

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This lecture explains stereo vision for estimating depth from image pairs. It covers rectification, correspondence search, block-matching and correlation-based methods, simulated annealing, and applications of stereo.

Syllabus

Intro
Shape from Stereo
Stereo Pairs and Depth Maps (from Szeliski's book)
Rectification
Correspondence using Search
Correlation Based Stereo Methods
Block Matching
Sum of Squares Differences (SSD)
Minimum Absolute Difference
Maximum Matching Pixel Count
Cross Correlation
Normalized Correlation
Mutual Correlation
Simulated Annealing
Results with window correlation
Applications of Stereo (from Szeliski's book)
Reading Material

Taught by

UCF CRCV

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