| Paper: | TA-L3.6 |
| Session: | Stereoscopic and 3D Processing III |
| Time: | Tuesday, September 18, 11:50 - 12:10 |
| Presentation: |
Lecture
|
| Title: |
REGION SEGMENTATION AND FEATURE POINT EXTRACTION ON 3D FACES USING A POINT DISTRIBUTION MODEL |
| Authors: |
Prathap Nair; Queen Mary, University of London | | |
| | Andrea Cavallaro; Queen Mary, University of London | | |
| Abstract: |
We present a novel approach to accurately detect landmarks and segment regions on face meshes without the use of texture, pose or orientation information. The proposed approach is based on a 3D Point Distribution Model (PDM) that is fitted to the region of interest using candidate vertices extracted from low-level feature maps. The robustness of the algorithm is evaluated in the presence of noise and at the variation of the number of scans and model points used in the learning phase. Experimental results demonstrate the accuracy of the proposed method in detecting landmarks, with an improvement of 55% over a state-of-the-art non-statistical approach. |
