NDLI: Curvature-aware adaptive capture of 3D geometry and appearance

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Curvature-aware adaptive capture of 3D geometry and appearance

Content Provider	ACM Digital Library
Author	Lee, Yong Yi Choi, Junho Lee, Jong Hun Kim, Yong Hwi Ahmed, Bilal Son, Moon Gu Kim, Junbum Lee, Kwan H.
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.
Starting Page	1
Ending Page	2
Page Count	2
File Format	PDF
ISBN	9781450350150
DOI	10.1145/3102163.3102201
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-07-30
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Adaptive capture Appearance capture and modeling 3d reconstruction
Content Type	Text
Resource Type	Article

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