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Proceedings Paper

Depth from magnification and blurring
Author(s): Sukhan Lee; Sang Chul Ahn; Ashok Meyyappan; Paul S. Schenker
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Paper 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 here as 'depth from magnification and blurring,' aims at generating a precise 3D map of local scene of 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.

Paper Details

Date Published: 30 October 1996
PDF: 8 pages
Proc. SPIE 2905, Sensor Fusion and Distributed Robotic Agents, (30 October 1996); doi: 10.1117/12.256334
Show Author Affiliations
Sukhan Lee, Jet Propulsion Lab. and Univ. of Southern California (United States)
Sang Chul Ahn, Univ. of Southern California (United States)
Ashok Meyyappan, Univ. of Southern California (United States)
Paul S. Schenker, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 2905:
Sensor Fusion and Distributed Robotic Agents
Paul S. Schenker; Gerard T. McKee, Editor(s)

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