article

A search engine for 3D models

Authors:

Thomas Funkhouser,

Michael Kazhdan,

Alex Halderman,

David JacobsAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 22, Issue 1

Pages 83 - 105

https://doi.org/10.1145/588272.588279

Published: 01 January 2003 Publication History

Abstract

As the number of 3D models available on the Web grows, there is an increasing need for a search engine to help people find them. Unfortunately, traditional text-based search techniques are not always effective for 3D data. In this article, we investigate new shape-based search methods. The key challenges are to develop query methods simple enough for novice users and matching algorithms robust enough to work for arbitrary polygonal models. We present a Web-based search engine system that supports queries based on 3D sketches, 2D sketches, 3D models, and/or text keywords. For the shape-based queries, we have developed a new matching algorithm that uses spherical harmonics to compute discriminating similarity measures without requiring repair of model degeneracies or alignment of orientations. It provides 46 to 245% better performance than related shape-matching methods during precision--recall experiments, and it is fast enough to return query results from a repository of 20,000 models in under a second. The net result is a growing interactive index of 3D models available on the Web (i.e., a Google for 3D models).

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Index Terms

A search engine for 3D models
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation
    2. Shape modeling
      1. Parametric curve and surface models
      2. Volumetric models
2. Information systems
  1. Information retrieval

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 22, Issue 1

January 2003

129 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/588272

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Published: 01 January 2003

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