Finger contour tracking based on model

Author

Zhou, Hang ; Ruan, Qiuqi

Author_Institution

Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China

Volume

1

fYear

2002

fDate

28-31 Oct. 2002

Firstpage

503

Abstract

In this paper, we study the articulated hand model with a set of transforms featured with angles among the fingers. The feature points are extracted from images of the unmarked hand from a viewpoint. With the features extracted from the images, the system calculates them for each line and tip in the model with contour correction. Then the modified Gauss-Newton algorithm minimizes the feature residuals. The projection of the previous estimated model is used to hypothesise that the closest available feature is the correct match.

Keywords

Newton method; computer vision; edge detection; feature extraction; image matching; image sampling; importance sampling; minimisation; tracking; DoF; articulated hand model; contour correction; correct match; feature point extraction; feature residual minimization; finger contour tracking; modified Gauss-Newton algorithm; sampling; tracking; transforms; vision based recognition system; Data mining; Electronics packaging; Feature extraction; Fingers; Information science; Kinematics; Least squares methods; Newton method; Thumb; Wrist;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering

Print_ISBN

0-7803-7490-8

Type

conf

DOI

10.1109/TENCON.2002.1181323

Filename

1181323