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Colour Helmholtz Stereopsis for Reconstruction of Dynamic Scenes with Arbitrary Unknown Reflectance

Roubtsova, Nadejda and Guillemaut, Jean-Yves (2016) Colour Helmholtz Stereopsis for Reconstruction of Dynamic Scenes with Arbitrary Unknown Reflectance International Journal of Computer Vision, 124. pp. 18-48.

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Helmholtz Stereopsis is a powerful technique for reconstruction of scenes with arbitrary re ectance properties. However, previous formulations have been limited to static objects due to the requirement to se- quentially capture reciprocal image pairs (i.e. two im- ages with the camera and light source positions mu- tually interchanged). In this paper, we propose Colour Helmholtz Stereopsis - a novel framework for Helmholtz Stereopsis based on wavelength multiplexing. To ad- dress the new set of challenges introduced by multispec- tral data acquisition, the proposed Colour Helmholtz Stereopsis pipeline uniquely combines a tailored pho- tometric calibration for multiple camera/light source pairs, a novel procedure for spatio-temporal surface chromaticity calibration and a state-of-the-art Bayesian formulation necessary for accurate reconstruction from a minimal number of reciprocal pairs. In this frame- work, re ectance is spatially unconstrained both in terms of its chromaticity and the directional component dependent on the illumination incidence and viewing angles. The proposed approach for the rst time en- ables modelling of dynamic scenes with arbitrary un- known and spatially varying re ectance using a practi- cal acquisition set-up consisting of a small number of cameras and light sources. Experimental results demon- strate the accuracy and exibility of the technique on a variety of static and dynamic scenes with arbitrary un- known BRDF and chromaticity ranging from uniform to arbitrary and spatially varying.

Item Type: Article
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 20 September 2016
Funders : Engineering and Physical Sciences Research Council
DOI : 10.1007/s11263-016-0951-0
Copyright Disclaimer : © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Uncontrolled Keywords : 3D reconstruction · Dynamic scenes · Arbitrary BRDF · Helmholtz Stereopsis
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 14 Sep 2016 15:08
Last Modified : 16 Jan 2019 17:08

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