Presentation 2009-10-08
Hand posture with forearm moving estimation system
Motomasa TOMIDA, Kiyoshi HOSHINO,
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Abstract(in English) The Previous systems for 3D human hand posture estimation have adopted clustered multi-layer large-scale database with narrowing of search space by its past estimation results. But once an estimated result at a time is out of the search space, the system can't find out a true or optimal value. Our system therefore has adopted non-clustered large-scale database with narrowing of search space, rather, a coarse search at the first stage according to some aspects of inputted hand images, and an accurate search at the second stage with low-order image features. The experimental results showed that the averaged estimation error is -2.11 degrees, and the candidates for accurate search at the second stage are reduced from 28,386 to 137.7 data sets, which indicates our system realizes the stable hand posture estimation with high accuracy and processing speed as previous system without using the past results.
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Keyword(in English) 3D hand posture estimation / single camera / two-stage searches of similar hand image / aspect of hand image
Paper # EID2009-20
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Committee EID
Conference Date 2009/10/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Hand posture with forearm moving estimation system
Sub Title (in English)
Keyword(1) 3D hand posture estimation
Keyword(2) single camera
Keyword(3) two-stage searches of similar hand image
Keyword(4) aspect of hand image
1st Author's Name Motomasa TOMIDA
1st Author's Affiliation University of Tsukuba, Graduate School of Systems and Information Engineering()
2nd Author's Name Kiyoshi HOSHINO
2nd Author's Affiliation University of Tsukuba, Graduate School of Systems and Information Engineering
Date 2009-10-08
Paper # EID2009-20
Volume (vol) vol.109
Number (no) 223
Page pp.pp.-
#Pages 4
Date of Issue