Abstract
This chapter critiques and displays the results of the digital surface segmentation algorithm applied to a set of twenty-two test images containing real and noisy synthetic range images and real intensity images. These images were selected from a group of images used as a test image database for the experiments. All input images are 128×128 pixels with eight bits per pixel, except for one 256×256 8-bit intensity image of a house scene from the University of Massachusetts at Amherst. All real range images were acquired from an Environmental Research Institute of Michigan (ERIM) AM phase-difference imaging laser radar sensor except for the Renault Auto Part image, which was created by converting a range data xyz-file from the French INRIA range imaging sensor into a range image using a special purpose program written by the author. All results have been obtained using software written by the author in the C programming language on the UNIX 4.2 BSD operating system running on a VAX/11–780.
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© 1988 Springer-Verlag New York Inc.
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Besl, P.J. (1988). Experimental Results. In: Surfaces in Range Image Understanding. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3906-2_7
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DOI: https://doi.org/10.1007/978-1-4612-3906-2_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4612-8396-6
Online ISBN: 978-1-4612-3906-2
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