DocumentCode :
3178622
Title :
Occlusions and the next view planning
Author :
Maver, Jasna ; Bajcsy, Ruzena
Author_Institution :
Comput. Vision Lab., Ljubljana Univ., Slovenia
fYear :
1992
fDate :
12-14 May 1992
Firstpage :
1806
Abstract :
The strategy of acquiring 3-D data of unknown scenes is discussed. The analysis is limited to range images obtained by a light stripe range finder. Prior knowledge given to the system is the knowledge of the sensor geometry. The emphasis on the occluded regions, i.e. their shape and the height of the scene at their borders. Since the system has knowledge of the sensor geometry it can resolve the appearance of occlusions by analyzing them
Keywords :
image recognition; planning (artificial intelligence); set theory; 3D data acquisition; histogram decomposition; image recognition; light stripe range finder; next view planning; occlusions; range images; sensor geometry; unknown scenes; Cameras; Computer vision; Geometry; Image resolution; Image sensors; Intelligent sensors; Laboratories; Layout; Sensor systems; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
Conference_Location :
Nice
Print_ISBN :
0-8186-2720-4
Type :
conf
DOI :
10.1109/ROBOT.1992.220118
Filename :
220118
Link To Document :
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