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Proceedings Paper

Sampling and surface reconstruction with adaptive-size meshes
Author(s): Wen-Chen Huang; Dmitry B. Goldgof
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Paper Abstract

This paper presents a new approach to sampling and surface reconstruction which uses the physically based models. We introduce adaptive-size meshes which automatically update the size of the meshes as the distance between the nodes changes. We have implemented the adaptive-size algorithm to the following three applications: (1) Sampling of the intensity data. (2) Surface reconstruction of the range data. (3) Surface reconstruction of the 3-D computed tomography left ventricle data. The LV data was acquired by the 3-D computed tomography (CT) scanner. It was provided by Dr. Eric Hoffman at University of Pennsylvania Medical school and consists of 16 volumetric (128 X 128 X 118) images taken through the heart cycle.

Paper Details

Date Published: 1 March 1992
PDF: 11 pages
Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); doi: 10.1117/12.58618
Show Author Affiliations
Wen-Chen Huang, Univ. of South Florida (United States)
Dmitry B. Goldgof, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 1708:
Applications of Artificial Intelligence X: Machine Vision and Robotics
Kevin W. Bowyer, Editor(s)

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