Segmentation and Classification of Human Forms Using LADAR Data
James S. Albus, Tsai Hong Hong, Tommy Chang
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 of the Applied Image Patern Recognittion | 2006 | AIPR
October 11-13, 2006
classification, grouping, LADAR image processing, range images, segmentation, windowing