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Lecture 11
Lecture 11
Stereo
Motivation
Problem definition
The correspondence problem and reconstruction problem
Disparity and depth
The parallel camera case
The general case
Stereo matching
Intensity-based stereo matching
Feature-based stereo matching
Types of features
Matching constraints
Coarse-to-fine multiresolution matching scheme
Some existing matching algorithms
Marr and Poggio's matching algorithm (1979)
Grimson's matching algorithm on random dot stereograms (1981)
Ohta and Kanade's dynamic programming approach (1985)
The SRI STEREOSYS system (Hannah, 1985)
The PMF system (Pollard, Mayhew, and Frisby, 1985)
The trinocular system of INRIA
Open problems
Reconstruction of 3-D coordinates
Active stereo
Calibration
Advantages and disadvantages
References
Image rectification
Computing the epipolar lines
Robyn Owens
10/29/1997
