Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2027

Feature silhouette extraction from photographs for virtual human modeling

Authors Wang, Yu
Wang, Charlie Changling
Yuen, Matthew Ming Fai
Issue Date 2001
Source Proceedings of the IASTED International Conference Visualization, Imaging, and Image Processing, September 3-5, 2001, Marbella, Spain , 2001, p. 267-272
Summary In this paper, we present an easy, efficient and practical algorithm, which extracts the feature silhouette from a photograph for virtual human modeling. Our segmentation algorithm is derived from the Mumford-Shah segmentation technology and the level set formulation. We accelerate the silhouette extraction process using the multi-pyramid level method. After that, a feature extraction algorithm is introduced to determine the feature points on the human contours. At the end of the paper, some results of the virtual human modeling are shown to demonstrate the functionality. Compared with other approaches, our silhouette extraction methods and feature extraction are automatic, and the speed of extraction is fast.
Subjects
Rights Copyright © ACTA Press. This paper is made available with permission of ACTA Press.
Language English
Format Conference paper
Access
Files in this item:
File Description Size Format
326145.pdf 889380 B Adobe PDF