Shape And Reflectance From Rgb-D Images Using Time Sequential Illumination

Matis Hudon, Technicolor, IRISA, University of Rennes 1, France
Adrien Gruson, IRISA, University of Rennes 1, France
Paul Kerbiriou, Technicolor, France
Remi Cozot, IRISA, University of Rennes 1, France
Kadi Bouatouch, IRISA, University of Rennes 1, France
In VISAPP, 2016.

Abstract

In this paper we propose a method for recovering the shape (geometry) and the diffuse reflectance from an image (or video) using a hybrid setup consisting of a depth sensor (Kinect), a consumer camera and a partially controlled illumination (using a flash). The objective is to show how combining RGB-D acquisition with a sequential illumination is useful for shape and reflectance recovery. A pair of two images are captured: one non flashed (image under ambient illumination) and a flashed one. A pure flash image is computed by subtracting the non flashed image from the flashed image. We propose an novel and near real-time algorithm, based on a local illumination model of our flash and the pure flash image, to enhance geometry (from the noisy depth map) and recover reflectance information.

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Cite

@inproceedings{Hudon:2016:Shape,
  title={Shape and Reflectance from RGB-D Images using Time Sequential Illumination.},
  author={Hudon, Matis and Gruson, Adrien and Kerbiriou, Paul and Cozot, Remi and Bouatouch, Kadi},
  booktitle={VISIGRAPP (3: VISAPP)},
  year={2016},
  doi={10.5220/0005726305320541}
}
							

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