Shape-based retrieval and analysis of 3D models

Thomas Funkhouser; Michael Kazhdan

doi:10.1145/1103900.1103916

Shape-based retrieval and analysis of 3D models

Thomas Funkhouser, Michael Kazhdan

Computer Science

Research output: Contribution to conference › Paper › peer-review

18 Scopus citations

Abstract

Large repositories of 3D data are rapidly becoming available in several fields, including mechanical CAD, molecular biology, and computer graphics. As the number of 3D models grows, there is an increasing need for computer algorithms to help people find the interesting ones and discover relationships between them. Unfortunately, traditional text-based search techniques are not always effective for 3D models, especially when queries are geometric in nature (e.g., find me objects that fit into this space). This course will survey recent methods and applications for representing, matching, indexing, and classifying 3D polygonal models based on their shapes.

Original language	English (US)
DOIs	https://doi.org/10.1145/1103900.1103916
State	Published - Aug 8 2004
Event	International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2004 - Los Angeles, United States Duration: Aug 8 2004 → Aug 12 2004

Other

Other	International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2004
Country/Territory	United States
City	Los Angeles
Period	8/8/04 → 8/12/04

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Human-Computer Interaction

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10.1145/1103900.1103916

Cite this

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AU - Kazhdan, Michael

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AB - Large repositories of 3D data are rapidly becoming available in several fields, including mechanical CAD, molecular biology, and computer graphics. As the number of 3D models grows, there is an increasing need for computer algorithms to help people find the interesting ones and discover relationships between them. Unfortunately, traditional text-based search techniques are not always effective for 3D models, especially when queries are geometric in nature (e.g., find me objects that fit into this space). This course will survey recent methods and applications for representing, matching, indexing, and classifying 3D polygonal models based on their shapes.

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ER -

Shape-based retrieval and analysis of 3D models

Abstract

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All Science Journal Classification (ASJC) codes

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