A Method for Footprint Range Image Segmentation and Description

  • Yihong Ding
  • Xijian Ping
  • Min Hu
  • Tao Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

In this paper, we firstly present a novel footprint range image segmentation method using the principal curvatures and the principal directions. Utilizing the principal curvatures information, we detect the peak areas as the seeds, and apply region growing to locate the edges of each patch. We apply the edge detection technology to the region growth rules, so the boundary localization is precise. To obtain more stable edge information, a multi-scale fusion approach is proposed to integrate the segmentation results calculated at different fitting sizes. After the segmentation, according to the shape characteristics of footprint, we use superquadric and saddle models to describe shape features of each patch. The experiments results on footprint range images show that the segmented patches and the descriptions represent footprint biometric information effectively and set a reliable basis for the further recognition.

Keywords

Segmentation Result Principal Curvature Principal Direction Range Image Plaster Cast 
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 2005

Authors and Affiliations

  • Yihong Ding
    • 1
  • Xijian Ping
    • 1
  • Min Hu
    • 1
  • Tao Zhang
    • 1
  1. 1.Zhengzhou Information Science and Technology InstituteZhengzhouChina

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