Sciweavers

Share
CVPR
2009
IEEE

Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition

10 years 1 months ago
Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition
This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff Distance (THD), which is a compound measurement integrating both spatial and textural features. The THD is applied to a Significant Jet Point (SJP) representation of face images, where a varied number of shape-driven SJPs are detected automatically from low-level edge map with rich information content. The comparative experiments conducted on publicly available FERET and AR face databases demonstrated that the proposed approach has a considerably wider range of tolerance against both in-depth head rotation and face misalignment.
Sanqiang Zhao, Yongsheng Gao
Added 18 May 2010
Updated 18 May 2010
Type Conference
Year 2009
Where CVPR
Authors Sanqiang Zhao, Yongsheng Gao
Comments (0)
books