caa a22 4500 467914923 CHVBK 20180406152859.0 cr unu---uuuuu 170328e20060201xx s 000 0 eng 10.1007/s11263-005-3956-7 doi (NATIONALLICENCE)springer-10.1007/s11263-005-3956-7 Appearance-Cloning: Photo-Consistent Scene Recovery from Multi-View Images [Elektronische Daten] [Howon Kim, In Kweon] This paper introduces the novel volumetric methodology "appearance-cloning” as a viable solution for achieving a more improved photo-consistent scene recovery, including a greatly enhanced geometric recovery performance, from a set of photographs taken at arbitrarily distributed multiple camera viewpoints. We do so while solving many of the problems associated with previous stereo-based and volumetric methodologies. We redesign the photo-consistency decision problem of individual voxel in volumetric space as the photo-consistent shape search problem in image space, by generalizing the concept of the point correspondence search between two images in stereo-based approach, within a volumetric framework. In detail, we introduce a self-constrained greedy-style optimization methodology, which iteratively searches a more photo-consistent shape based on the probabilistic shape photo-consistency measure, by using the probabilistic competition between candidate shapes. Our new measure is designed to bring back the probabilistic photo-consistency of a shape by comparing the appearances captured from multiple cameras with those rendered from that shape using the per-pixel Maxwell model in image space. Through various scene recoveries experiments including specular and dynamic scenes, we demonstrate that if sufficient appearances are given enough to reflect scene characteristics, our appearance-cloning approach can successfully recover both the geometry and photometry information of a scene without any kind of scene-dependent algorithm tuning. Springer Science + Business Media, Inc., 2006 image-based modeling nationallicence volumetric reconstruction nationallicence voxel coloring nationallicence space carving nationallicence appearance nationallicence photo-consistency nationallicence color similarity nationallicence Kim Howon Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon, Korea aut Kweon In Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon, Korea aut International Journal of Computer Vision Kluwer Academic Publishers 66/2(2006-02-01), 163-192 0920-5691 66:2<163 2006 66 11263 https://doi.org/10.1007/s11263-005-3956-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-005-3956-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kim Howon Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon, Korea aut NATIONALLICENCE 700 1- Kweon In Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon, Korea aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 66/2(2006-02-01), 163-192 0920-5691 66:2<163 2006 66 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer