Name
Abstract | ||
|---|---|---|
This paper describes and discusses the algorithms required to perform face detection and face recognition in real-time. Simple features, similar to Haar basis functions, are used for detection and the eigenfaces technique is used for recognition. Further to the above, a novel method of increasing face recognition rates is presented for situations where a database containing multiple images of the same subject is being used. It is shown that these well-known, existing techniques for both detection and recognition can be combined in a manner that runs in real-time, but still preserves the original success rates mentioned in literature. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2513456.2513494 | SAICSIT Conf. |
Keywords | Field | DocType |
face detection,eigenfaces technique,novel method,face recognition,original success rate,haar basis function,multiple image,face recognition rate,robust real-time face recognition,simple feature,real time | Computer vision,Facial recognition system,3D single-object recognition,Eigenface,Object-class detection,Three-dimensional face recognition,Pattern recognition,Computer science,Selection algorithm,Artificial intelligence,Simple Features,Face detection | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Lagerwall | 1 | 0 | 0.34 |
| S. Viriri | 2 | 0 | 0.34 |