Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55415
Citations
Scopus Web of ScienceĀ® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSchindler, K.-
dc.contributor.authorSuter, D.-
dc.date.issued2006-
dc.identifier.citationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2006; 28(6):983-995-
dc.identifier.issn0162-8828-
dc.identifier.issn1939-3539-
dc.identifier.urihttp://hdl.handle.net/2440/55415-
dc.description.abstractMultibody structure-and-motion (MSaM) is the problem to establish the multiple-view geometry of several views of a 3D scene taken at different times, where the scene consists of multiple rigid objects moving relative to each other. We examine the case of two views. The setting is the following: Given are a set of corresponding image points in two images, which originate from an unknown number of moving scene objects, each giving rise to a motion model. Furthermore, the measurement noise is unknown, and there are a number of gross errors, which are outliers to all models. The task is to find an optimal set of motion models for the measurements. It is solved through Monte-Carlo sampling, careful statistical analysis of the sampled set of motion models, and simultaneous selection of multiple motion models to best explain the measurements. The framework is not restricted to any particular model selection mechanism because it is developed from a Bayesian viewpoint: Different model selection criteria are seen as different priors for the set of moving objects, which allow one to bias the selection procedure for different purposes.-
dc.description.statementofresponsibilityKonrad Schindler and David Suter-
dc.description.urihttp://www.computer.org/portal/web/csdl/doi/10.1109/TPAMI.2006.130-
dc.language.isoen-
dc.publisherIEEE Computer Soc-
dc.source.urihttp://dx.doi.org/10.1109/tpami.2006.130-
dc.subjectHumans-
dc.subjectImage Interpretation, Computer-Assisted-
dc.subjectImaging, Three-Dimensional-
dc.subjectSensitivity and Specificity-
dc.subjectReproducibility of Results-
dc.subjectMovement-
dc.subjectAlgorithms-
dc.subjectMotion-
dc.subjectModels, Biological-
dc.subjectArtificial Intelligence-
dc.subjectComputer Simulation-
dc.subjectInformation Storage and Retrieval-
dc.subjectPattern Recognition, Automated-
dc.titleTwo-view multibody structure-and-motion with outliers through model selection-
dc.typeJournal article-
dc.identifier.doi10.1109/TPAMI.2006.130-
pubs.publication-statusPublished-
dc.identifier.orcidSuter, D. [0000-0001-6306-3023]-
Appears in Collections:Aurora harvest 5
Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.