Surface normal estimation of black specular objects from multiview polarization images

Daisuke Miyazaki; Takuya Shigetomi; Masashi Baba; Ryo Furukawa; Shinsaku Hiura; Naoki Asada

doi:10.1117/1.OE.56.4.041303

30 September 2016 Surface normal estimation of black specular objects from multiview polarization images

Daisuke Miyazaki, Takuya Shigetomi, Masashi Baba, Ryo Furukawa, Shinsaku Hiura, Naoki Asada

Author Affiliations +

Funded by: Japan Society for the Promotion of Science (JSPS), Japan Society for the Promotion of Science, Ministry of Education, Culture, Sports, Science and Technology, Scientific Research on Innovative Areas

Optical Engineering, Vol. 56, Issue 4, 041303 (September 2016). https://doi.org/10.1117/1.OE.56.4.041303

Abstract

Polarization is a phenomenon that cannot be observed by the human eye, but it provides rich information regarding scenes. The proposed method estimates the surface normal of black specular objects through polarization analysis of reflected light. A unique surface normal cannot be determined from a polarization image observed from a single viewpoint; thus, we observe the object from multiple viewpoints. To analyze the polarization state of the reflected light at the corresponding points when observed from multiple viewpoints, the abstract shape is predetermined using a space carving technique. Unlike a conventional photometric stereo or multiview stereo, which cannot estimate the shape of a black specular object, the proposed method estimates the surface normal and three-dimensional coordinates of black specular objects via polarization analysis and space carving.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Daisuke Miyazaki, Takuya Shigetomi, Masashi Baba, Ryo Furukawa, Shinsaku Hiura, and Naoki Asada "Surface normal estimation of black specular objects from multiview polarization images," Optical Engineering 56(4), 041303 (30 September 2016). https://doi.org/10.1117/1.OE.56.4.041303

Published: 30 September 2016

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