Name
Title | ||
|---|---|---|
Hybrid-Boost Learning for Multi-Pose Face Detection and Facial Expression Recognition |
Abstract | ||
|---|---|---|
This paper proposes a novel multi-class hybrid-boost learning algorithm for multi-pose face detection and facial expression recognition. This system detects human face in different sizes, various poses, partial-occlusion, and different expressions. The contribution of this paper is the hybrid boosting algorithm combining the Haar-like (local) features and Gabor-like (global) features. The experimental results show that our system has better performance than the others. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICME.2007.4284739 | Pattern Recognition |
Keywords | Field | DocType |
face detection,partial-occlusion,multi-pose face detection algorithm,facial expression recognition,face recognition,multi-pose face detection,haar-like features,multi-class hybrid-boost learning algorithm,different expression,pose estimation,emotion recognition,feature extraction,detection process,gabor-like features,skin color detection,face detection system,haar transforms,potential face region,human face,haar like features,informatics,boosting,frequency,lighting | Facial recognition system,Computer vision,Face hallucination,Pattern recognition,Three-dimensional face recognition,Computer science,Pose,Feature extraction,Haar-like features,Boosting (machine learning),Artificial intelligence,Face detection | Journal |
Volume | Issue | ISSN |
41 | 3 | Pattern Recognition |
ISBN | Citations | PageRank |
1-4244-1017-7 | 22 | 1.16 |
References | Authors | |
25 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsiuao-Ying Chen | 1 | 22 | 1.16 |
| Chung-Lin Huang | 2 | 540 | 37.61 |
| Chih-Ming Fu | 3 | 384 | 30.00 |