Name
Abstract | ||
|---|---|---|
This paper presents a method which can detect multi-pose faces for robot. To overcome a disadvantage of conventional single-view face detection. we compute hyperplane using Linear Discriminant Analysis (LDA). These hyperplane are used to separate two different classes finely. This method could reduce false positive rate on branching nodes significantly, as well as the number of unnecessary branches. Consequently, overall speed of the detector could be improved about 24 percent compared to the case without hyperplane partition. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/URAI.2013.6677446 | URAI |
Keywords | Field | DocType |
face detection,hyperplane,silver robots,face recognition,multipose face detection,pose estimation,silver robot,image classification,lda,classification,robot vision,false positive rate | False positive rate,Computer vision,Facial recognition system,Object-class detection,Three-dimensional face recognition,Pattern recognition,Computer science,Pose,Artificial intelligence,Hyperplane,Face detection,Linear discriminant analysis | Conference |
ISSN | ISBN | Citations |
2325-033X | 978-1-4799-1195-0 | 1 |
PageRank | References | Authors |
0.37 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jongmin Yoon | 1 | 15 | 3.36 |
| Jongju Shin | 2 | 53 | 6.13 |
| Daijin Kim | 3 | 1882 | 126.85 |