Abstract
The general least squares problem for estimating a projective transformation that can be analytically reduced to a two-dimensional minimization is addressed. A particular algorithm that is a combination of a projection and an approximate Gauss-Newton scheme is proposed. It is shown that the algorithm efficiently solves the least squares.
| Original language | English (US) |
|---|---|
| Pages | 232-235 |
| Number of pages | 4 |
| State | Published - 2000 |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000 |
Other
| Other | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 9/10/00 → 9/13/00 |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering