Traditional Stereo Matching
Advantages:
gives detailed surface estimates
fast algorithms based on moving averages
sub-pixel disparity estimates and confidence
Limitations:
narrow baseline noisy estimates
fails in textureless areas
gets confused near occlusion boundaries