Feature Silhouette Extraction from Photographs for Virtual Human Modeling

Matthew Ming Fai Yuen

Research output: Contribution to conferenceConference Paper

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.
Original languageEnglish
Publication statusPublished - 2001
EventProceedings of the IASTED International Conference Visualization, Imaging, and Image Processing, September 3-5, 2001, Marbella, Spain -
Duration: 1 Jan 20011 Jan 2001

Conference

ConferenceProceedings of the IASTED International Conference Visualization, Imaging, and Image Processing, September 3-5, 2001, Marbella, Spain
Period1/01/011/01/01

Keywords

  • 3-D object extraction
  • Active contour
  • Feature extraction
  • Segmentation

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