Abstract
This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.
Original language | English (US) |
---|---|
Pages (from-to) | 843-848 |
Number of pages | 6 |
Journal | Pattern Recognition Letters |
Volume | 11 |
Issue number | 12 |
DOIs | |
State | Published - Dec 1990 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence