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Data-driven shape analysis and processing

Published • Nov 28, 2016
Authors:
Kai Xu
,
Vladimir G. Kim
,
Qixing Huang

Abstract

Data-driven methods serve an increasingly important role in discovering geometric, structural, and semantic relationships between shapes. In contrast to traditional approaches that process shapes in isolation of each other, data-driven methods aggregate information from 3D model collections to impro...

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