Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms

  • Shinya Morioka
  • Tadashi Matsuo
  • Yasuhiro Hiramoto
  • Nobutaka Shimada
  • Yoshiaki Shirai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8869)

Abstract

This paper proposes an automatic functional object segmentation method based on modeling the relationship between grasping hand form and the object appearance. First the relationship among a representative grasping pattern and a position and pose of a object relative to the hand is learned based on a few typical functional objects. By learning local features from the hand grasping various tools with various way to hold them, the proposed method can estimate the position, scale, direction of the hand and the region of the grasped object. By some experiments, we demonstrate that the proposed method can detect them in cluttered backgrounds.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Shinya Morioka
    • 1
  • Tadashi Matsuo
    • 1
  • Yasuhiro Hiramoto
    • 1
  • Nobutaka Shimada
    • 1
  • Yoshiaki Shirai
    • 1
  1. 1.Ritsumeikan UniversityShigaJapan

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