Polarization-based inverse rendering from a single view

Daisuke Miyazaki, Robby T. Tan, Kenji Hara, Katsushi Ikeuchi

Research output: Contribution to journalConference articlepeer-review

111 Citations (Scopus)

Abstract

This paper presents a method to estimate geometrical, photometrical, and environmental information of a singleviewed object in one integrated framework under fixed viewing position and fixed illumination direction. These three types of information are important to render a photorealistic image of a real object. Photometrical information represents the texture and the surface roughness of an object, while geometrical and environmental information represent the 3D sliape of an object and the illumination distribution, respectively. The proposed method estimates the 3D shape by computing the surface normal from polarization data, calculates the texture of the object from the diffuse only reflection component, determines the illumination directions from the position of the brightest intensity in the specular reflection component, and finally computes the surface roughness of the object by using the estimated illumination distribution.

Original languageEnglish
Pages (from-to)982-987
Number of pages6
JournalProceedings of the IEEE International Conference on Computer Vision
Volume2
DOIs
Publication statusPublished - 2003
Externally publishedYes
EventNINTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION - Nice, France
Duration: Oct 13 2003Oct 16 2003

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition

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