Name
Abstract | ||
|---|---|---|
In this paper, we propose the method for pose and facial expression invariant face recognition using the affine dense SURF-like descriptors. The proposed method consists of four step, 1) we normalize the face image using the face and eye detector. 2) We apply the affine simulation for synthesizing various pose face images. 3) We make a descriptor on the overlapping block-based grid keypoints. 4) A probe image is compared with the referenced images by performing the nearest neighbor matching. To improve the recognition rate, we use the keypoint distance ratio and false matched keypoint ratio. The proposed method showed the better performance than that of the conventional methods in terms of the recognition rates. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICCE.2014.6775938 | ICCE |
Keywords | Field | DocType |
face recognition,probes,affine dense surf-like descriptors,eye detector,face detector,facial expression invariant face recognition,false matched keypoint ratio,keypoint distance ratio,nearest neighbor matching,overlapping block-based grid keypoints,pose face images,probe image,recognition rate,recognition rates | Affine transformation,k-nearest neighbors algorithm,Facial recognition system,Computer vision,Normalization (statistics),3D single-object recognition,Pattern recognition,Three-dimensional face recognition,Computer science,Facial expression,Artificial intelligence,Invariant (mathematics) | Conference |
ISSN | Citations | PageRank |
2158-3994 | 2 | 0.38 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bongnam Kang | 1 | 38 | 6.34 |
| Jongmin Yoon | 2 | 15 | 3.36 |
| Hyunsung Park | 3 | 52 | 9.72 |
| Daijin Kim | 4 | 1882 | 126.85 |