Retrieving 3D objects with articulated limbs by depth image input

Jun Yang Lin, May Fang She, Ming Han Tsai, I-Chen Lin, Yo Chung Lau, Hsu Hang Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Existing 3D model retrieval approaches usually implicitly assume that the target models are rigid-body. When they are applied to retrieving articulated models, the retrieved results are substantially influenced by the model postures. This paper presents a novel approach to retrieve 3D models from a database based on one or few input depth images. While related methods compared the inputs with whole shapes of 3D model projections at certain viewpoints, the proposed method extracts the limbs and torso regions from projections and analyzes the features of local regions. The use of both global and local features can alleviate the disturbance of model postures in model retrieval. Therefore, the system can retrieve models of an identical category but in different postures. Our experiments demonstrate that this approach can efficiently retrieve relevant models within a second, and it provides higher retrieval accuracy than those of compared methods for rigid 3D models or models with articulated limbs.

Original languageEnglish
Title of host publicationGRAPP
EditorsAna Paula Claudio, Dominique Bechmann, Jose Braz
PublisherSciTePress
Pages101-111
Number of pages11
ISBN (Electronic)9789897582875
DOIs
StatePublished - 1 Jan 2018
Event13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018 - Funchal, Madeira, Portugal
Duration: 27 Jan 201829 Jan 2018

Publication series

NameVISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume1

Conference

Conference13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2018
CountryPortugal
CityFunchal, Madeira
Period27/01/1829/01/18

Keywords

  • 3D object retrieval
  • Depth image analysis
  • Shape matching

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  • Cite this

    Lin, J. Y., She, M. F., Tsai, M. H., Lin, I-C., Lau, Y. C., & Liu, H. H. (2018). Retrieving 3D objects with articulated limbs by depth image input. In A. P. Claudio, D. Bechmann, & J. Braz (Eds.), GRAPP (pp. 101-111). (VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 1). SciTePress. https://doi.org/10.5220/0006609601010111