Source:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), Seattle (1994)
URL:
http://citeseer.ist.psu.edu/shi94good.html
Keywords:
features;
invariant;
rotation
Abstract:
No feature-based vision system can work unless good features can be identified and tracked from frame to frame. Although tracking itself is by and large a solved problem, selecting features that can be tracked well and correspond to physical points in the world is still hard. We propose a feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not...