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Segmentation and Classification of Human Forms Using LADAR Data

Published

Author(s)

James S. Albus, Tsai Hong Hong, Tommy Chang

Abstract

High resolution LADAR images of scenes containing human forms have been segmented and algorithms developed for recognizing human forms in various positions in both cluttered and uncluttered scenes. Registration of LADAR and color CCD images enhance the ability to segment both types of images.
Proceedings Title
Proceedings of the Applied Image Patern Recognittion | 2006 | AIPR
Conference Dates
October 11-13, 2006
Conference Title
AIPR Conference

Keywords

classification, grouping, LADAR image processing, range images, segmentation, windowing

Citation

Albus, J. , , T. and Chang, T. (2007), Segmentation and Classification of Human Forms Using LADAR Data, Proceedings of the Applied Image Patern Recognittion | 2006 | AIPR (Accessed April 23, 2024)
Created March 14, 2007, Updated February 19, 2017