Elsevier

Pattern Recognition

Volume 31, Issue 2, February 1998, Pages 121-136
Pattern Recognition

Autonomous construction of three-dimensional models from range data

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Abstract

This paper presents a method for autonomously constructing a complete general purpose surface description (model) of an object. The models are constructed based on a large number of noisy range images from an essentially arbitrary set of viewpoints around the object. The resulting models consist of a set of parametric surface patches. Results of testing the model building algorithm on two synthetic test objects are also presented.

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