Literature DB >> 20431131

Shape and spatially-varying BRDFs from photometric stereo.

Dan B Goldman1, Brian Curless, Aaron Hertzmann, Steven M Seitz.   

Abstract

This paper describes a photometric stereo method designed for surfaces with spatially-varying BRDFs, including surfaces with both varying diffuse and specular properties. Our optimization-based method builds on the observation that most objects are composed of a small number of fundamental materials by constraining each pixel to be representable by a combination of at most two such materials. This approach recovers not only the shape but also material BRDFs and weight maps, yielding accurate rerenderings under novel lighting conditions for a wide variety of objects. We demonstrate examples of interactive editing operations made possible by our approach.

Year:  2010        PMID: 20431131     DOI: 10.1109/TPAMI.2009.102

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  3 in total

1.  The Dynamic Photometric Stereo Method Using a Multi-Tap CMOS Image Sensor.

Authors:  Takuya Yoda; Hajime Nagahara; Rin-Ichiro Taniguchi; Keiichiro Kagawa; Keita Yasutomi; Shoji Kawahito
Journal:  Sensors (Basel)       Date:  2018-03-05       Impact factor: 3.576

2.  DRM-Based Colour Photometric Stereo Using Diffuse-Specular Separation for Non-Lambertian Surfaces.

Authors:  Boren Li; Tomonari Furukawa
Journal:  J Imaging       Date:  2022-02-08

3.  Example-Based Multispectral Photometric Stereo for Multi-Colored Surfaces.

Authors:  Daisuke Miyazaki; Kazuya Uegomori
Journal:  J Imaging       Date:  2022-04-11
  3 in total

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