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Human hand adaptation using sweeps: generating animatable hand models
Author(s) -
Lee Jieun,
Kim MyungSoo
Publication year - 2007
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.193
Subject(s) - bespoke , computer science , trajectory , computer vision , artificial intelligence , adaptation (eye) , sequence (biology) , computer graphics (images) , displacement (psychology) , optics , astronomy , biology , political science , law , psychotherapist , genetics , psychology , physics
We introduce a sweep‐based hand shape adaptation algorithm to fit a generic sweep‐based hand model to the shape of an individual's hand, presented as a single photograph. The sweep trajectory curves of the generic hand model are modified to interpolate a sequence of keyframes determined by target features. Details of the real hand can be transferred to the model by adjusting its sweep displacement map. Palm lines are also acquired from sketches drawn on the photograph. The bespoke model inherits the fully animatable structure of the generic model. We demonstrate the effectiveness of our sweep‐based approach using several examples of reconstructing animatable bespoke hand models. Copyright © 2007 John Wiley & Sons, Ltd.