Indoor Scene Reconstruction Using Near-light Photometric Stereo

Journal article (2017)

Authors

J. Liao Computer Graphics and Visualisation -

B.B.E. Buchholz Computer Graphics and Visualisation -

J.M.C.M. Thiery Computer Graphics and Visualisation -

P. Bauszat Computer Graphics and Visualisation -

E. Eisemann Computer Graphics and Visualisation -

Research Group

Computer Graphics and Visualisation () (TU Delft)

Image processing Normal Albedo Depth Photometric stereo Near-light Sphere detection Light calibration

More Info

expand_more

To reference this document use:

http://resolver.tudelft.nl/uuid:cf7f410f-b53a-4f2e-b5d6-f336ff6dacf4

Published Date

2017

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Computer Graphics and Visualisation

Abstract

We propose a novel framework for photometric stereo (PS) under low-light conditions using uncalibrated near-light illumination. It operates on free-form video sequences captured with a minimalistic and affordable setup. We address issues such as albedo variations, shadowing, perspective projections, and camera noise. Our method uses specular spheres detected with a perspective-correcting Hough transform to robustly triangulate light positions in the presence of outliers via a least-squares approach. Furthermore, we propose an iterative reweighting scheme in combination with an ℓp-norm minimizer to robustly solve the calibrated near-light PS problem. In contrast to other approaches, our framework reconstructs depth, albedo (relative to light source intensity), and normals simultaneously and is demonstrated on synthetic and real-world scenes.

Files

10084132_u.pdf

(.pdf | 5.07 Mb)