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2015 | OriginalPaper | Chapter

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

Authors : Shinya Morioka, Tadashi Matsuo, Yasuhiro Hiramoto, Nobutaka Shimada, Yoshiaki Shirai

Published in: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Publisher: Springer International Publishing

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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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Title: Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms
Authors: Shinya Morioka
Tadashi Matsuo
Yasuhiro Hiramoto
Nobutaka Shimada
Yoshiaki Shirai
Publisher: Springer International Publishing
Book: Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction
Print ISBN: 978-3-319-14898-4

Electronic ISBN: 978-3-319-14899-1

Copyright Year: 2015
DOI: https://doi.org/10.1007/978-3-319-14899-1_1

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