Specular highlight reduction with known surface geometry

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

3 Scopus Citations
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Author(s)

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Detail(s)

Original languageEnglish
Pages (from-to)132-144
Journal / PublicationComputer Vision and Image Understanding
Volume168
Online published27 Oct 2017
Publication statusPublished - Mar 2018

Abstract

The separation of reflection components is an important issue in computer graphics, computer vision, and image processing. This is a highly ill-posed problem since the number of unknowns to solve is much larger than the number of equations. We present a method to reduce the difficulty of this problem by assuming that surface geometry is known. A novel objective function based on robust principal component analysis is proposed to simultaneously separate specularities and estimate the position of light source. We develop an Augmented Lagrangian Multiplier based algorithm to solve the objective function efficiently and effectively. Experimental results on real-world and synthetic data demonstrate the effectiveness of our method.

Research Area(s)

  • 3D geometry, Diffuse reflection, Robust PCA, Specular reflection

Citation Format(s)

Specular highlight reduction with known surface geometry. / Wei, Xing; Xu, Xiaobin; Zhang, Jiawei; Gong, Yihong.

In: Computer Vision and Image Understanding, Vol. 168, 03.2018, p. 132-144.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review