Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/55342
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Type: Conference paper
Title: Two-view multibody structure-and-motion with outliers
Author: Schindler, K.
Suter, D.
Citation: Proceedings IEEE Conference in Computer Vision and Pattern Recognition, CVPR 2005: www1-8
Publisher: IEEE
Publisher Place: Online
Issue Date: 2005
Series/Report no.: IEEE Conference on Computer Vision and Pattern Recognition
ISBN: 0769523722
9780769523729
ISSN: 1063-6919
Conference Name: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (18th : 2005 : San Diego, CA, U.S.A.)
Statement of
Responsibility: 
Konrad Schindler and David Suter
Abstract: Multi-body 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 to find an optimal set of motion models for the measurements is solved through Monte-Carlo sampling, careful statistical analysis of the data and simultaneous selection of multiple motion models.
RMID: 0020094172
DOI: 10.1109/CVPR.2005.355
Appears in Collections:Computer Science publications

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