DocumentCode :
1862098
Title :
Edge-based placement of camera and light source for object recognition and location
Author :
Cowan, Cregg K. ; Modayur, Bharath
Author_Institution :
SRI Int., Menlo Park, CA, USA
fYear :
1993
fDate :
2-6 May 1993
Firstpage :
586
Abstract :
The selection and placement of cameras and light sources for a vision task is an essential step in both autonomous visual sensing and standard industrial applications. A technique is presented that determines the three-dimensional region of light-source locations such that one or more specified object edges will be detected with a given edge operator. The method uses a task description that includes a list of object edges and the edge operator to be used in order to derive constraints on image contrast, surface irradiance, and light-source location. The combination of this method with prior results on camera and light-source placement can be applied to object recognition and location tasks
Keywords :
computer vision; edge detection; image recognition; autonomous visual sensing; cameras; edge operator; image contrast; light sources; specified object edges; standard industrial applications; surface irradiance; vision task; Cameras; Focusing; Image edge detection; Light sources; Lighting; Machine vision; Object recognition; Robot vision systems; Robotics and automation; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-8186-3450-2
Type :
conf
DOI :
10.1109/ROBOT.1993.291895
Filename :
291895
Link To Document :
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