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Curvature-aware adaptive capture of 3D geometry and appearance

Published: 30 July 2017 Publication History

Abstract

Various vision-based measurement systems have been developed to reconstruct the 3D shape and appearance of an object. To achieve this, a large number of the samples need to be captured. However, most of the existing measurement system requires a long acquisition time because of system complexity. Although some systems present effective acquisition strategy in the adaptive manner, they focus on only 2D planar samples so that they cannot handle complex 3D object and its reflectance property. In this paper, we present the multi-camera and multi-light source based measurement system that capture the 3D geometry and appearance simultaneously. We also proposed a novel curvature-aware acquisition strategy for reducing the acquisition time and data storage requirement. Since the proposed method can efficiently capture the appearance of 3D objects with complicated shape, expect to progress the digitization in the various field such as museum and industry.

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References

[1]
Christopher Schwartz, Ralf Sarlette, Michael Weinmann, and Reinhard Klein. 2013. Dome ii: A parallelized btf acquisition system. In Proceedings of the Eurographics 2013 Workshop on Material Appearance Modeling: Issues and Acquisition. Eurographics Association, 25--31.
[2]
R Vávra and J Filip. 2016. Minimal Sampling for Effective Acquisition of Anisotropic BRDFs. In Computer Graphics Forum, Vol. 35. Wiley Online Library, 299--309.
[3]
Robert J Woodham. 1980. Photometric method for determining surface orientation from multiple images. Optical engineering 19, 1 (1980), 191139--191139.

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cover image ACM Conferences
SIGGRAPH '17: ACM SIGGRAPH 2017 Posters
July 2017
173 pages
ISBN:9781450350150
DOI:10.1145/3102163
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 July 2017

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Author Tags

  1. 3D reconstruction
  2. adaptive capture
  3. appearance capture and modeling

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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