Sampling and surface reconstruction with adaptive-size meshes

Wen-Chen Huang; Dmitry B. Goldgof

doi:10.1117/12.58618

1 March 1992 Sampling and surface reconstruction with adaptive-size meshes

Wen-Chen Huang, Dmitry B. Goldgof

Proceedings Volume 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics; (1992) https://doi.org/10.1117/12.58618
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Wen-Chen Huang and Dmitry B. Goldgof "Sampling and surface reconstruction with adaptive-size meshes", Proc. SPIE 1708, Applications of Artificial Intelligence X: Machine Vision and Robotics, (1 March 1992); https://doi.org/10.1117/12.58618

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