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Mesostructure from specularity using coded illumination

Published: 05 August 2007 Publication History

Abstract

In this paper we propose a technique for efficient acquisition of fine-scale surface details, or mesostructure. Inspired by Chen et al. [2006], we wish to recover mesostructure normal maps using a single top-view camera and a point light source based only on spec-larities. Many interesting materials such as plastic and metal can be analyzed this way. Moreover, certain translucent materials such as human skin and fruit are hard to analyze using traditional photometric stereo, due to excessive subsurface scattering. Specularities are not influenced by this, enabling us to capture detailed normal maps for such cases.

Reference

[1]
Chen, T., Goesele, M., and Seidel, H.-P. 2006. Mesostructure from specularity. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), IEEE, New York, NY, USA, vol. 2, 1825--1832.

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  • (2008)Fast Normal Map Acquisition Using an LCD Screen Emitting Gradient PatternsProceedings of the 2008 Canadian Conference on Computer and Robot Vision10.1109/CRV.2008.22(189-195)Online publication date: 28-May-2008
  1. Mesostructure from specularity using coded illumination

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    cover image ACM Conferences
    SIGGRAPH '07: ACM SIGGRAPH 2007 sketches
    August 2007
    94 pages
    ISBN:9781450347266
    DOI:10.1145/1278780
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    Published: 05 August 2007

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    • (2008)Fast Normal Map Acquisition Using an LCD Screen Emitting Gradient PatternsProceedings of the 2008 Canadian Conference on Computer and Robot Vision10.1109/CRV.2008.22(189-195)Online publication date: 28-May-2008

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