Name
Abstract | ||
|---|---|---|
In this paper, we describe a novel 3-D face recognition scheme for 3-D face recognition that can automatically identify faces from range images, and is insensitive to holes, facial expression, and hair. In our scheme, a number of carefully selected range images constitute a set of example faces, and another range image is chosen as a ldquogeneric face.rdquo The generic face is then warped to match each of the example faces in the least mean square sense. Each such warp is specified by a vector of displacement values. In feature extraction operation, when a target face image comes in, the generic face is warped to match it. The geometric transformation used in the warping is a linear combination of the example face warping vectors. The coefficients in the linear combination are adjusted to minimize the root mean square error. After the matching process is complete, the coefficients of the composite warp are used as features and passed to a Mahalanobis-distance-based classifier for face recognition. Our technique is tested on a data set containing more than 600 range images. Experimental results in the access-control scenario show the effectiveness of the extracted features. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TIFS.2007.902023 | IEEE Transactions on Information Forensics and Security |
Keywords | Field | DocType |
linear combination,warped example faces,3-d face recognition,face recognition,target face image,composite warp,ldquogeneric face,generic face,square error,novel 3-d face recognition,range image,lighting,digital image processing,root mean square error,classification algorithms,solid modeling,image classification,feature extraction,vectors,algorithm design and analysis,facial expression,geometric transformation,least mean square,mahalanobis distance,access control | Facial recognition system,Computer vision,Linear combination,Face hallucination,Image warping,Pattern recognition,Computer science,Geometric transformation,Feature extraction,Artificial intelligence,Contextual image classification,Statistical classification | Journal |
Volume | Issue | ISSN |
2 | 3 | 1556-6013 |
Citations | PageRank | References |
6 | 0.41 | 32 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Le Zou | 1 | 32 | 3.20 |
| S. Cheng | 2 | 548 | 27.56 |
| Zixiang Xiong | 3 | 3444 | 275.03 |
| Mi Lu | 4 | 6 | 0.41 |
| Kenneth R Castleman | 5 | 44 | 4.33 |