title: Indoor Scene Reconstruction Using Near-Light Photometric Stereo.
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.
authors.lastname: Jingtang Liao
authors.forename: Bert
authors.initials: B
authors.lastname: Buchholz
authors.forename: Jean-Marc
authors.initials: JM
authors.lastname: Thiery
authors.forename: Pablo
authors.initials: P
authors.lastname: Bauszat
authors.forename: Elmar
authors.initials: E
authors.lastname: Eisemann