Name
Abstract | ||
|---|---|---|
Binocular stereo vision technology shows a particular interesting for face recognition, in which the accurate stereo matching is the key issue for obtaining dense disparity map used for exploiting 3D shape information of object. This paper proposed a binocular structured light stereo matching approach to deal with the challenge of stereo matching to objects having large disparity and low texture, such as facial image. By introducing global system to coordinate the binocular camera and projector, a projector cast structured light pattern which added texture to the face scene. Binocular epipolar constraint and semi-global stereo matching algorithm were applied. The experiments showed that the accuracy had improved compared to that of purely binocular vision for getting dense facial disparity map. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-25832-9_56 | Australasian Conference on Artificial Intelligence |
Keywords | Field | DocType |
large disparity,binocular vision,binocular camera,dense facial disparity map,light stereo,binocular stereo vision technology,semi-global stereo,accurate stereo matching,dense disparity,binocular epipolar constraint,structured light | Facial recognition system,Computer vision,Stereo camera,Binocular vision,Structured light,Computer graphics (images),Epipolar geometry,Binocular disparity,Computer science,Projector,Artificial intelligence,Computer stereo vision | Conference |
Volume | ISSN | Citations |
7106 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 14 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shiwei Ma | 1 | 136 | 21.79 |
| Yujie Shen | 2 | 5 | 1.13 |
| Junfen Qian | 3 | 0 | 0.34 |
| Hui Chen | 4 | 4 | 1.50 |
| Zhonghua Hao | 5 | 2 | 2.41 |
| Lei Yang | 6 | 0 | 0.34 |