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Abstract:
The problem of effectively obtaining the configuration of human hand from image sequence is interesting because of its theoretical importance and it involves with diverse application. A wide range of applications such as Human Computer Interaction (HCI), recognizing fingerspelling, personal verification, etc. can be built that the problem robustly and efficiently solved. At the same time, years of research on Hand Gesture Recognition (HGR), Hand Pose Recovery (HPR) now makes these applications reliably. © 2012 Authors.
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Year: 2012
Page: 347
Language: English
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 1
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 6
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