DocumentCode :
2091078
Title :
Depth from magnification and blurring
Author :
Lee, Sukhan ; Ahn, Sang Chul ; Meyyappan, Ashok
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
1
fYear :
1997
fDate :
20-25 Apr 1997
Firstpage :
137
Abstract :
A new method of constructing 3D maps based on the relative magnification and blurring of a pair of images is presented, where the images are taken at two camera positions of a small displacement. The method, referred to as depth from magnification and blurring, aims at generating a precise 3D map of local scenes or objects to be manipulated by a robot arm with a hand-eye camera. The method uses a single standard camera with telecentric lens, and assumes neither active illumination nor active control of camera parameters. The proposed depth extraction algorithm is simple in computation. Fusing the two disparate sources of depth information, magnification and blurring, the proposed method provides more accurate and robust depth estimation. Experimental results demonstrate the effectiveness of the proposed method
Keywords :
cameras; image matching; image sequences; manipulators; robot vision; 3D maps; active control; active illumination; camera positions; computation; depth estimation; depth extraction algorithm; depth from blurring; depth from magnification; displacement; experimental results; hand-eye camera; local scenes; robot arm; robot vision; telecentric lens; three dimensional maps; Apertures; Cameras; Costs; Deconvolution; Focusing; Laser radar; Layout; Lenses; Robot vision systems; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1997. Proceedings., 1997 IEEE International Conference on
Conference_Location :
Albuquerque, NM
Print_ISBN :
0-7803-3612-7
Type :
conf
DOI :
10.1109/ROBOT.1997.620028
Filename :
620028
Link To Document :
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