3D Interest Points Detection Using Symmetric Surround-Based Surface Saliency

  • Yitian Zhao
  • Yonghuai Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8156)

Abstract

The detection of interest points is an important pre-processing step for the analysis of mesh surfaces. This paper proposes a new method for the detection of the interest points for 3D surface. Our method incorporates the Relative Distance-based Laplacian and \({\textit{Retinex}}\) to generate the symmetric surround-based surface saliency. The effectiveness of this method is demonstrated by studying the repeatability of the detected interest points under different perceptual conditions, such as different viewpoints and noise corruption. The results show that the proposed method achieves better performance than competitors.

Keywords

salient surface bilateral region repeatability 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yitian Zhao
    • 1
  • Yonghuai Liu
    • 1
  1. 1.Department of Computer ScienceAberystwyth UniversityUK

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