000128417 001__ 128417
000128417 005__ 20190316234412.0
000128417 0247_ $$2doi$$a10.1007/s11263-006-0017-9
000128417 02470 $$2DAR$$a12068
000128417 02470 $$2ISI$$a000252685400003
000128417 037__ $$aARTICLE
000128417 245__ $$aFast Non-Rigid Surface Detection, Registration and Realistic Augmentation
000128417 269__ $$a2008
000128417 260__ $$c2008
000128417 336__ $$aJournal Articles
000128417 520__ $$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.We demonstrate its applicability by using it to realistically modify the texture of a deforming surface and to handle complex illumination effects. 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 more than 90%, which is considerably more than what is required in practice.
000128417 700__ $$0240234$$g119913$$aPilet, Julien
000128417 700__ $$0240235$$g149007$$aLepetit, Vincent
000128417 700__ $$aFua, Pascal$$g112366$$0240252
000128417 773__ $$j76$$tInternational Journal of Computer Vision$$k2$$q109-122
000128417 8564_ $$uhttps://infoscience.epfl.ch/record/128417/files/PiletLF07.pdf$$zn/a$$s696557
000128417 909C0 $$xU10659$$0252087$$pCVLAB
000128417 909CO $$ooai:infoscience.tind.io:128417$$qGLOBAL_SET$$pIC$$particle
000128417 937__ $$aCVLAB-ARTICLE-2008-003
000128417 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000128417 980__ $$aARTICLE