Techniques for improving stereo depth maps of faces

Author

Baker, Jason ; Chandran, Vinod ; Sridharan, Sridha

Author_Institution

Sch. of Electr. & Electron. Syst. Eng., Queensland Univ. of Technol., Brisbane, Qld., Australia

Volume

5

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

3279

Abstract

This paper presents an improved technique for determining the 3D structure of the human face form stereo images. The approach targets specific regions of the face individually. An application of the approach to estimate the 3D structure of the nose is presented. Stereo matching is extended and applied to colour in addition to grayscale, which improves matching in a low texture image like parts of the skin of a human face. Left-right consistency check is used to determine erroneous disparity estimates. Prior knowledge of the nose structure is used in conjunction to improve the quality of the 3D nose estimates.

Keywords

face recognition; image colour analysis; image matching; image texture; stereo image processing; 3D nose estimates; faces stereo depth map; grayscale; human face 3D structure; image colour; image texture; left-right consistency check; nose structure; stereo matching; Australia; Face recognition; Gray-scale; Humans; Image databases; Image recognition; Nose; Pixel; Spatial databases; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1421814

Filename

1421814