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  1. SIGGRAPH Asia 2013 Courses (SA '13)
  2. Structure-aware shape processing
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Structure-aware shape processing
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Structure-aware shape processing ( SA '13 )

Content Provider ACM Digital Library
Author Huang, Qi-Xing Wand, Michael Kim, Vladimir Mitra, Niloy Cohen-Or, Daniel Zhang, Hao Richard
Abstract Shape structure is about the arrangement and relations between shape parts. Structure-aware shape processing goes beyond local geometry and low level processing, and analyzes and processes shapes at a high level. It focuses more on the global inter and intra semantic relations among the parts of shape rather than on their local geometry. With recent developments in easy shape acquisition, access to vast repositories of 3D models, and simple-to-use desktop fabrication possibilities, the study of structure in shapes has become a central research topic in shape analysis, editing, and modeling. A whole new line of structure-aware shape processing algorithms has emerged that base their operation on an attempt to understand such structure in shapes. The algorithms broadly consist of two key phases: an analysis phase, which extracts structural information from input data; and a (smart) processing phase, which utilizes the extracted information for exploration, editing, and synthesis of novel shapes. In this course, we will organize, summarize, and present the key concepts and methodological approaches towards efficient structure-aware shape processing. We discuss common models of structure, their implementation in terms of mathematical formalism and algorithms, and explain the key principles in the context of a number of state-of-the-art approaches. Further, we attempt to list the key open problems and challenges, both at the technical and at the conceptual level, to make it easier for new researchers to better explore and contribute to this topic. Our goal is to both give the practitioner an overview of available structure-aware shape processing techniques, as well as identify future research questions in this important, emerging, and fascinating research area.
Starting Page 1
Ending Page 20
Page Count 20
File Format PDF
ISBN 9781450326315
DOI 10.1145/2542266.2542267
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-11-19
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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