000099017 001__ 99017
000099017 005__ 20180317094813.0
000099017 037__ $$aCONF
000099017 245__ $$aBridging Geometry and Semantics for Object Manipulation and Grasping
000099017 269__ $$a2005
000099017 260__ $$c2005
000099017 336__ $$aConference Papers
000099017 520__ $$aIn this paper, we present our on-going work towards grasping in an object manipulation context. Our proposal is a novel method that combines a tubular feature classification algorithm, a hand grasp posture generation algorithm and an animation framework for human-object interactions. This method works on objects with tubular or elongated parts, and accepts a number of parameter inputs to control the grasp posture.
000099017 6531_ $$avirtual environments
000099017 6531_ $$agrasping
000099017 6531_ $$ashape analysis
000099017 6531_ $$asmart objects
000099017 6531_ $$aanimation
000099017 700__ $$0241468$$aAbaci, T.$$g146707
000099017 700__ $$aMortara, M.
000099017 700__ $$aPatane, G.
000099017 700__ $$aSpagnulo, M.
000099017 700__ $$0240710$$aVexo, F.$$g140990
000099017 700__ $$0240382$$aThalmann, D.$$g106541
000099017 773__ $$tProceedings of Workshop towards Semantic Virtual Environments' (SVE 2005) workshop
000099017 8564_ $$s323046$$uhttps://infoscience.epfl.ch/record/99017/files/Abaci_and_al_SVE_05.pdf$$zn/a
000099017 909CO $$ooai:infoscience.tind.io:99017$$pIC$$pconf
000099017 909C0 $$0252095$$pVRLAB$$xU10422
000099017 937__ $$aVRLAB-CONF-2005-021
000099017 970__ $$a51/VRLAB
000099017 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000099017 980__ $$aCONF