Autonomous low-level model construction

Leland C. Best; Michael Magee

doi:10.1117/12.216953

18 August 1995 Autonomous low-level model construction

Leland C. Best, Michael Magee

Proceedings Volume 2562, Radar/Ladar Processing and Applications; (1995) https://doi.org/10.1117/12.216953
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

This paper describes a technique that has been developed for autonomously constructing a low- level point model of the surface of an object. Noisy range images of the object are acquired from many different known viewpoints. Data from the range images are resampled onto a regular grid in a reference coordinate system, and then combined to form a single voxel based representation of the surface. A dense set of points lying on the surface is then extracted from the voxel representation. Results using synthetic range data are presented.

Citation Download Citation

Leland C. Best and Michael Magee "Autonomous low-level model construction", Proc. SPIE 2562, Radar/Ladar Processing and Applications, (18 August 1995); https://doi.org/10.1117/12.216953

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