Evaluating distances using a coded lens camera and a blur metric

Ludovic J. Angot; Chuan-Chung Chang; Yung-Lin Chen

doi:10.1117/12.872686

7 February 2011 Evaluating distances using a coded lens camera and a blur metric

Ludovic J. Angot, Chuan-Chung Chang, Yung-Lin Chen

Proceedings Volume 7877, Image Processing: Machine Vision Applications IV; 78770O (2011) https://doi.org/10.1117/12.872686
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

We propose a method and a system to measure distances to a target and at the same time obtaining an image of the target. The system is based on a wavefront coded lens and an image processing unit. The method requires a calibration phase where a blur metric is related to the distance of the target. The distance to the target for any position is then obtained by computing the blur metric of the target and using the calibration data. The method and system are easy to manufacture and provide an alternative to other distance measuring methods and devices, while also producing an image of the scene. The target is a printed image of pseudo random black and white elements which can be stick or placed nearby objects of which distance is to be evaluated.

Citation Download Citation

Ludovic J. Angot, Chuan-Chung Chang, and Yung-Lin Chen "Evaluating distances using a coded lens camera and a blur metric", Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 78770O (7 February 2011); https://doi.org/10.1117/12.872686

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