Robust Nose Localization by Using Fitting of Ellipse from 2.5D Image

Author

Theekapun, Charoenpong ; Hase, Hiroyuki ; Tokai, Shogo

Author_Institution

Dept. of Inf. Sci., Fukui Univ.

fYear

2006

fDate

14-17 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

Due to the existing problem of extracting the significant feature as the nose from any viewpoint between -/+90 degree, this paper propose the new robust method for localizing the nose tip and ridge by using the ellipse fitting technique from only one 2.5D image. The cross section across the head is fitted by ellipse, and then the semimajor axis vectors are corrected to the nose tip and ridge by the nose ridge localization algorithm. Our method has the significant for several applications such as recognition, animation and computer vision. From the experimental result, the 277 samples were done. Its accuracy is 97.83%. The excellent performance of our method is to be able to localizing the nose position even though the only half of face can be captured

Keywords

face recognition; feature extraction; image sampling; ellipse fitting technique; feature extraction; image samples; nose ridge localization algorithm; semimajor axis vector; Application software; Computer vision; Data mining; Facial animation; Feature extraction; Head; Nose; Robustness; Shape; Surface fitting;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2006. 2006 IEEE Region 10 Conference

Conference_Location

Hong Kong

Print_ISBN

1-4244-0548-3

Electronic_ISBN

1-4244-0549-1

Type

conf

DOI

10.1109/TENCON.2006.343897

Filename

4142284