Iterative 3-D Pose Correction and Content-Based Image Retrieval for Dorsal Fin Recognition

  • John Stewman
  • Kelly Debure
  • Scott Hale
  • Adam Russell
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4141)

Abstract

Contour or boundary descriptors may be used in content-based image retrieval to effectively identify appropriate images when image content consists primarily of a single object of interest. The registration of object contours for the purposes of comparison is complicated when the objects of interest are characterized by open contours and when reliable feature points for contour alignment are absent. We present an application that employs an iterative approach to the alignment of open contours for the purposes of image retrieval and demonstrate its success in identifying individual bottlenose dolphins from the profiles of their dorsal fins.

Keywords

Feature Point Active Contour Bottlenose Dolphin Sperm Whale Humpback Whale 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • John Stewman
    • 1
  • Kelly Debure
    • 1
  • Scott Hale
    • 1
  • Adam Russell
    • 1
  1. 1.St. PetersburgEckerd CollegeUSA

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