Extracting feature points and feature lines from triangular surface models

Jeffrey A. Bloom; Chang Y. Choo

doi:10.1117/12.20014

1 January 1990 Extracting feature points and feature lines from triangular surface models

Jeffrey A. Bloom, Chang Y. Choo

Proceedings Volume 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes; (1990) https://doi.org/10.1117/12.20014
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

In order to recognize an arbitrary 3D object, it is often required to extract feature points and feature lines from its surface model. The feature points and feature lines include peaks, pits, ridge lines, and valley lines. In this paper, we present an efficient technique for finding the features from the triangular surface model of an arbitrary 3D object. Given a set of surface data points, we find, using the local adjustment technique, the triangular patches that best fit the surface of the object. For the resulting triangle-based surface model, unit normal vectors and side lengths of the triangular patches are used systematically to locate the feature points and lines of the surface. We present experimental results on simple objects with feature points and feature lines.

Citation Download Citation

Jeffrey A. Bloom and Chang Y. Choo "Extracting feature points and feature lines from triangular surface models", Proc. SPIE 1260, Sensing and Reconstruction of Three-Dimensional Objects and Scenes, (1 January 1990); https://doi.org/10.1117/12.20014

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