3D Posture Reconstruction and Human Animation from 2D Feature Points

dc.contributor.authorZhao, Jianhuien_US
dc.contributor.authorLi, Lingen_US
dc.contributor.authorChee Keong, Kwohen_US
dc.date.accessioned2015-02-19T14:24:41Z
dc.date.available2015-02-19T14:24:41Z
dc.date.issued2005en_US
dc.description.abstractAn optimal approach is proposed in this paper for posture reconstruction and human animation from 2D feature points extracted from the monocular images containing human motions. Biomechanical constraints are encoded in every joint of the adopted 3D skeletal human model to make sure that each state of the joints represents a physically valid posture. Size of the human model is adjusted to be consistent with the human figure represented by feature points. Energy Function is defined to represent the residuals between the extracted 2D feature points and the corresponding features resulted from projection of the 3D human model. Local Adjustment and Global Adjustment procedures are proposed to place the joints and body segments into proper locations and orientations in 3D space to create the posture with the minimum value of Energy Function. To find the optimal solution of the ill-posed recovery problem from 2D to 3D, Genetic Algorithm is employed in the high-dimensional parameter space by considering all the parameters simultaneously. Smooth and continuous changes between consecutive frames are considered in development of the human animation procedure. The proposed approach produces optimal reconstruction results of any possible human postures and movements. It is different from classical kinematics and dynamics formulations, and is an attempt to bridge the gap between computer vision and computer animation in human motion study.en_US
dc.description.number4en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume24en_US
dc.identifier.doi10.1111/j.1467-8659.2005.00900.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages759-771en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2005.00900.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.title3D Posture Reconstruction and Human Animation from 2D Feature Pointsen_US
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