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 claimfor improved face detection results using the proposed filter. An extension of the same framework towards head pose estimation is also suggested.

Original languageEnglish (US)
Title of host publicationProceedings - 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008
Pages466-473
Number of pages8
DOIs
StatePublished - Dec 1 2008
Event6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008 - Bhubaneswar, India
Duration: Dec 16 2008Dec 19 2008

Publication series

NameProceedings - 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008

Other

Other6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008
CountryIndia
CityBhubaneswar
Period12/16/0812/19/08

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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  • Cite this

    Krishna, S., & Panchanathan, S. (2008). Combining skin-color detector and evidence aggregated random field models towards validating face detection results. In Proceedings - 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008 (pp. 466-473). [4756107] (Proceedings - 6th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2008). https://doi.org/10.1109/ICVGIP.2008.13