Title :
Morphological 3-D segmentation using laser structured light
Author :
Brown, C.D. ; Marvel, R.W. ; Arce, G.R. ; Ih, C.S. ; Fertell, D.A.
Author_Institution :
Dept. of Electr. Eng., Delaware Univ., Newark, DE, USA
Abstract :
Segmentation methods were developed for images of the scene illuminated by sequentially scanned, laser projected, structured light. The structured light, viewed by a stereoscopically located, single video camera, resulted in an image in which the regional three-dimensional characteristics of the scene were represented by corresponding distortion of the structure of the projected light. In addition, an extension of the segmentation process yields a three-dimensional planar fit of regions of interest in the scene. The results are pertinent to the application of machine vision to the guidance of robots and autonomous vehicles along pathways without special markings.<>
Keywords :
computer vision; computerised picture processing; autonomous vehicles; laser structured light; machine vision; regional three-dimensional characteristics; robots; sequentially scanned; single video camera; three-dimensional planar fit; Cameras; Image segmentation; Laser noise; Layout; Lenses; Machine vision; Navigation; Robot kinematics; Robot sensing systems; Shape;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo, Finland
DOI :
10.1109/ISCAS.1988.15521