Share Email Print
cover

Proceedings Paper

Evaluating distances using a coded lens camera and a blur metric
Author(s): Ludovic J. Angot; Chuan-Chung Chang; Yung-Lin Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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.

Paper Details

Date Published: 7 February 2011
PDF: 12 pages
Proc. SPIE 7877, Image Processing: Machine Vision Applications IV, 78770O (7 February 2011); doi: 10.1117/12.872686
Show Author Affiliations
Ludovic J. Angot, Industrial Technology Research Institute (Taiwan)
Chuan-Chung Chang, Industrial Technology Research Institute (Taiwan)
Yung-Lin Chen, Industrial Technology Research Institute (Taiwan)


Published in SPIE Proceedings Vol. 7877:
Image Processing: Machine Vision Applications IV
David Fofi; Philip R. Bingham, Editor(s)

© SPIE. Terms of Use
Back to Top