Haro Ortega, Gloria2018-11-062018-11-062014Haro G. Shape from silhouette consensus and photo-consistency. In: 2014 IEEE International Conference on Image Processing (ICIP); 2014 Oct 27-30; Paris, France. [New York]: IEEE; 2014. p. 4837-41. DOI: 10.1109/ICIP.2014.7025980978-147995751-41522-4880http://hdl.handle.net/10230/35708Comunicació presentada a: 2014 IEEE International Conference on Image Processing (ICIP), celebrada a París, França, del 27 al 30 d'octubre de 2014We propose a 3D reconstruction algorithm based on silhouettes and color images. It is robust to inconsistent silhouettes, often common in real applications due to occlusions, errors in the background subtraction, noise or even calibration errors. The recovery of the shape that best fits the available data is formulated as a continuous energy minimization problem. The energy is based on the error between the silhouettes and the shape plus a regularization term based on a photo-consistency measure that places the surface at photo-consistent locations. The visibility is modeled as a function of the shape. The proposed photo-consistency measure takes visibility into account, although the presented variational framework can use different photo-consistency computations.application/pdfeng© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://dx.doi.org/10.1109/ICIP.2014.7025980Shape from silhouette consensus and photo-consistencyinfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/ICIP.2014.70259803D reconstructionMulti-viewShape from silhouettePhoto-consistencyVisibilityinfo:eu-repo/semantics/openAccess