A Color-Based Interest Operator

  • Marta Penas
  • Linda G. Shapiro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)

Abstract

In this paper we propose a novel interest operator robust to photometric and geometric transformations. Our operator is closely related to the grayscale MSER but it works on the HSV color space, as opposed to the most popular operators in the literature, which are intensity based. It combines a fine and a coarse overlapped quantization of the HSV color space to find maximally stable extremal regions on each of its components and combine them into a final set of regions that are useful in images where intensity does not discriminate well. We evaluate the performance of our operator on two different applications: wide-baseline stereo matching and image annotation.

Keywords

interest operators feature matching HSV color space wide-baseline stereo image annotation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marta Penas
    • 1
  • Linda G. Shapiro
    • 2
  1. 1.Dpt. of Computer ScienceUniversity of A CoruñaA CoruñaSpain
  2. 2.Dpt. of Computer Science and EngineeringUniversity of WashingtonUS

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