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
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