Name
Title | ||
|---|---|---|
Combining Skin-Color Detector and Evidence Aggregated Random Field Models towards Validating Face Detection Results |
Abstract | ||
|---|---|---|
In this paper, a framework for validating any generic face detection algorithm's result is proposed. A two stage cascaded face validation filter is described that relies on a skin-color detector and on a face silhouette structure modeler towards increasing face detection capacity of any face detection algorithm. While the skin-color detector combines a static skin-color and a dynamic background-color modeler, the face silhouette structure modeler incorporates an aggregate of random field models combined through a Demspter-Shafer framework of evidence merging. Together, the two modelers validate any face subimage generated by face detection algorithms. Experiments conducted on FERET and on an in-house face database supports the claim for improved face detection results using the proposed filter. An extension of the same framework towards head pose estimation is also suggested. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICVGIP.2008.13 | ICVGIP |
Keywords | DocType | Citations |
stage cascaded face validation,face subimage,combining skin-color detector,face silhouette structure modeler,validating face detection results,skin-color detector,generic face detection algorithm,demspter-shafer framework,face detection algorithm,face detection capacity,improved face detection result,random field models,in-house face database,dempster shafer,face recognition,face detection,model validation,pixel,color model,pose estimation,random field,skin,detectors,face | Conference | 1 |
PageRank | References | Authors |
0.35 | 9 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sreekar Krishna | 1 | 181 | 14.23 |
| Sethuraman Panchanathan | 2 | 1431 | 152.04 |