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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/2027
Title: Feature silhouette extraction from photographs for virtual human modeling
Authors: Wang, Yu
Wang, Changling
Yuen, Matthew Ming-Fai
Keywords: Active contour
Segmentation
Feature extraction
3-D object extraction
Issue Date: Sep-2001
Citation: Proceedings of the IASTED International Conference Visualization, Imaging, and Image Processing, September 3-5, 2001, Marbella, Spain, ACTA Press, Anaheim, CA, USA, 2001, p. 267-72
Abstract: 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.
Rights: Copyright © ACTA Press. This paper is made available with permission of ACTA Press.
URI: http://hdl.handle.net/1783.1/2027
Appears in Collections:MECH Conference Papers

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