Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.18171659 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- <p>Automatic facial feature extraction is one of the most important and attempted problems in computer vision. It is a necessary step in face recognition, facial image compression. There are many methods have been proposed in the literature for the facial feature extraction task. However, all of them have still disadvantage such as not complete reflection about face structure, face texture. In this paper, we propose a method for fast and accurate extraction of feature points such as eyes, nose, mouth, eyebrows and the like from dynamic images with the purpose of face recognition. These methods are far from satisfactory in terms of extraction accuracy and processing speed. The proposed method achieves high position accuracy at a low computing cost by combining shape extraction with geometric features of facial images like eyes, nose, mouth etc. In this paper, a facial expressions synthesis system, based on the facial points tracking in the frontal image sequences. Selected facial points are automatically tracked using a cross correlation based optical flow. The proposed synthesis system uses a simple facial features model with a few set of control points that can be tracked in original facial image sequences.</p>