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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