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Multimedia Tools and Applications

, Volume 47, Issue 1, pp 7–29 | Cite as

Shape-based indexing scheme for camera view invariant 3-D object retrieval

  • Hyoung Joong Kim
  • Yoon-Sik Tak
  • Eenjun HwangEmail author
Article

Abstract

Camera view invariant 3-D object retrieval is an important issue in many traditional and emerging applications such as security, surveillance, computer-aided design (CAD), virtual reality, and place recognition. One straightforward method for camera view invariant 3-D object retrieval is to consider all the possible camera views of 3-D objects. However, capturing and maintaining such views require an enormous amount of time and labor. In addition, all camera views should be indexed for reasonable retrieval performance, which requires extra storage space and maintenance overhead. In the case of shape-based 3-D object retrieval, such overhead could be relieved by considering the symmetric shape feature of most objects. In this paper, we propose a new shape-based indexing and matching scheme of real or rendered 3-D objects for camera view invariant object retrieval. In particular, in order to remove redundant camera views to be indexed, we propose a camera view skimming scheme, which includes: i) mirror shape pairing and ii) camera view pruning according to the symmetrical patterns of object shapes. Since our camera view skimming scheme considerably reduces the number of camera views to be indexed, it could relieve the storage requirement and improve the matching speed without sacrificing retrieval accuracy. Through various experiments, we show that our proposed scheme can achieve excellent performance.

Keywords

3-D object retrieval Distance curve Camera view skimming Shape-based indexing Camera view invariant 

Notes

Acknowledgement

This work was supported by the Korea Research Foundation Grant funded by the Korean Government (MOEHRD) (KRF-2008-313-D00858).

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Graduate School of Information Management & SecurityKorea UniversitySeongbuk-GuRepublic of Korea
  2. 2.School of Electrical EngineeringKorea UniversitySeongbuk-GuRepublic of Korea

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