Abstract
A gesture segmentation and classification methodology without restrictions regarding the presence of other objects is presented. The aim is to provide a framework in which application of the deformable templates method does not lead to difficult minimization problems, requiring simulated annealing solution procedures. Experiments with natural images of unknown gestures of various sizes, positions & directions have been conducted.
| Original language | English (US) |
|---|---|
| Pages | 226-229 |
| Number of pages | 4 |
| State | Published - 2001 |
| Event | IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: Oct 7 2001 → Oct 10 2001 |
Other
| Other | IEEE International Conference on Image Processing (ICIP) |
|---|---|
| Country/Territory | Greece |
| City | Thessaloniki |
| Period | 10/7/01 → 10/10/01 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering