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Real-Time Range Image Segmentation Using Adaptive Kernels and Kalman Filtering
Proceedings of the 13th International Conference on Pattern Recognition: Vienna, Austria
  • Fred W. DePiero, California Polytechnic State University - San Luis Obispo
  • Mohan M. Trivedi, University of California - San Diego
Publication Date
8-25-1996
Abstract

Segmentation is a fundamental process affecting the overall quality and utility of a machine vision system. Range Profile Tracking (RPT) is a systematic approach for stable, accurate and high speed segmentation of range images that is based on Kalman filtering. Tests of RPT have produced stable decompositions of second order surfaces bounded by jump and crease discontinuities, having a volumetric error of a few percent, in under 6 sec. for a wide variety of conditions. Results from over 900 tests on synthetic scenes and 150 real range images are presented.

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Citation Information
Fred W. DePiero and Mohan M. Trivedi. "Real-Time Range Image Segmentation Using Adaptive Kernels and Kalman Filtering" Proceedings of the 13th International Conference on Pattern Recognition: Vienna, Austria Vol. 3 (1996) p. 573 - 577
Available at: http://works.bepress.com/fdepiero/18/