A salient-point signature for 3d object retrieval

ABSTRACT

In this paper we describe a new 3D object signature and evaluate its performance for 3D object retrieval. The signature is based on a learning approach that finds the characteristics of salient points on a 3D object and represents the points in a 2D spatial map based on a longitude-latitude transformation. Experimental results show that the signature is able to achieve good retrieval scores for both pose-normalized and randomly-rotated object queries.

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INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing

General Terms:
Algorithms, Performance

Keywords:
3d object retrieval, 3d object signature, salient points