000128408 001__ 128408
000128408 005__ 20190316234412.0
000128408 037__ $$aCONF
000128408 245__ $$aReal-Time Non-Rigid Surface Detection
000128408 269__ $$a2005
000128408 260__ $$c2005
000128408 336__ $$aConference Papers
000128408 500__ $$aBest paper award
000128408 520__ $$aWe present a real-time method for detecting deformable surfaces, with no need whatsoever for a priori pose knowledge. Our method starts from a set of wide baseline point matches between an undeformed image of the object and the image in which it is to be detected. The matches are used not only to detect but also to compute a precise mapping from one to the other. The algorithm is robust to large deformations, lighting changes, motion blur, and occlusions. It runs at 10 frames per second on a 2.8 GHz PC and we are not aware of any other published technique that produces similar results. Combining deformable meshes with a well designed robust estimator is key to dealing with the large number of parameters involved in modeling deformable surfaces and rejecting erroneous matches for error rates of up to 95%, which is considerably more than what is required in practice.
000128408 6531_ $$aNon-rigid surface detection
000128408 6531_ $$adeformable surface tracking
000128408 700__ $$0240234$$aPilet, Julien$$g119913
000128408 700__ $$0240235$$aLepetit, Vincent$$g149007
000128408 700__ $$0240252$$aFua, Pascal$$g112366
000128408 7112_ $$aConference on Computer Vision and Pattern Recognition$$cSan Diego, CA$$dJune 2005
000128408 773__ $$tProceedings of the 2005 Conference on Computer Vision and Pattern Recogntion
000128408 8564_ $$s836504$$uhttps://infoscience.epfl.ch/record/128408/files/PiletLF05.pdf$$zn/a
000128408 909C0 $$0252087$$pCVLAB$$xU10659
000128408 909CO $$ooai:infoscience.tind.io:128408$$pconf$$pIC$$qGLOBAL_SET
000128408 937__ $$aCVLAB-CONF-2008-019
000128408 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000128408 980__ $$aCONF