Grasp synthesis from low-dimensional probabilistic grasp models Export

@article{amor2008, abstract = {We propose a novel data-driven animation method for the synthesis of natural looking human grasping. Motion data captured from human grasp actions is used to train a probabilistic model of the human grasp space. This model greatly reduces the high number of degrees of freedom of the human hand to a few dimensions in a continuous grasp space. The low dimensionality of the grasp space in turn allows for efficient optimization when synthesizing grasps for arbitrary objects. The method requires only a short training phase with no need for preprocessing of graphical objects for which grasps are to be synthesized. Copyright {\copyright} 2008 John Wiley \& Sons, Ltd.}, author = {Amor, Heni B. and Heumer, Guido and Jung, Bernhard and Vitzthum, Arnd}, citeulike-article-id = {4131936}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/cav.252}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/121371190/ABSTRACT}, doi = {10.1002/cav.252}, journal = {Computer Animation and Virtual Worlds}, keywords = {greifen, pca}, number = {3-4}, pages = {445--454}, posted-at = {2009-03-04 14:25:53}, priority = {4}, title = {Grasp synthesis from low-dimensional probabilistic grasp models}, url = {http://dx.doi.org/10.1002/cav.252}, volume = {19}, year = {2008} }

TY - JOUR ID - amor2008 L3 - citeulike-article-id:4131936 N2 - We propose a novel data-driven animation method for the synthesis of natural looking human grasping. Motion data captured from human grasp actions is used to train a probabilistic model of the human grasp space. This model greatly reduces the high number of degrees of freedom of the human hand to a few dimensions in a continuous grasp space. The low dimensionality of the grasp space in turn allows for efficient optimization when synthesizing grasps for arbitrary objects. The method requires only a short training phase with no need for preprocessing of graphical objects for which grasps are to be synthesized. Copyright © 2008 John Wiley & Sons, Ltd. IS - 3-4 JF - Computer Animation and Virtual Worlds EP - 454 TI - Grasp synthesis from low-dimensional probabilistic grasp models VL - 19 SP - 445 KW - greifen KW - pca AU - Amor, Heni AU - Heumer, Guido AU - Jung, Bernhard AU - Vitzthum, Arnd PY - 2008/// UR - http://dx.doi.org/10.1002/cav.252 ER -