Depth from magnification and blurring

Sukhan Lee; Sang Chul Ahn; Ashok Meyyappan; Paul S. Schenker

doi:10.1117/12.256334

30 October 1996 Depth from magnification and blurring

Sukhan Lee, Sang Chul Ahn, Ashok Meyyappan, Paul S. Schenker

Proceedings Volume 2905, Sensor Fusion and Distributed Robotic Agents; (1996) https://doi.org/10.1117/12.256334
Event: Photonics East '96, 1996, Boston, MA, United States

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.

Citation Download Citation

Sukhan Lee, Sang Chul Ahn, Ashok Meyyappan, and Paul S. Schenker "Depth from magnification and blurring", Proc. SPIE 2905, Sensor Fusion and Distributed Robotic Agents, (30 October 1996); https://doi.org/10.1117/12.256334

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