A four-lens based plenoptic camera for depth measurements

Cécile Riou; Zhiyuan Deng; Bruno Colicchio; Jean-Philippe Lauffenburger; Sophie Kohler; Olivier Haeberlé; Christophe Cudel

doi:10.1117/12.2182815

30 April 2015 A four-lens based plenoptic camera for depth measurements

Cécile Riou, Zhiyuan Deng, Bruno Colicchio, Jean-Philippe Lauffenburger, Sophie Kohler, Olivier Haeberlé, Christophe Cudel

Author Affiliations +

Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340V (2015) https://doi.org/10.1117/12.2182815
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France

Abstract

In previous works, we have extended the principles of “variable homography”, defined by Zhang and Greenspan, for measuring height of emergent fibers on glass and non-woven fabrics. This method has been defined for working with fabric samples progressing on a conveyor belt. Triggered acquisition of two successive images was needed to perform the 3D measurement. In this work, we have retained advantages of homography variable for measurements along Z axis, but we have reduced acquisitions number to a single one, by developing an acquisition device characterized by 4 lenses placed in front of a single image sensor. The idea is then to obtain four projected sub-images on a single CCD sensor. The device becomes a plenoptic or light field camera, capturing multiple views on the same image sensor. We have adapted the variable homography formulation for this device and we propose a new formulation to calculate a depth with plenoptic cameras. With these results, we have transformed our plenoptic camera in a depth camera and first results given are very promising.

Citation Download Citation

Cécile Riou, Zhiyuan Deng, Bruno Colicchio, Jean-Philippe Lauffenburger, Sophie Kohler, Olivier Haeberlé, and Christophe Cudel "A four-lens based plenoptic camera for depth measurements", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340V (30 April 2015); https://doi.org/10.1117/12.2182815

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KEYWORDS

Cameras

Calibration

Distortion

Lenses

Image sensors

3D metrology

Copper

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