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https://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 |
ISSN: | 1063-6919 |
Conference Name: | IEEE Computer Society Conference on Computer Vision and Pattern Recognition (18th : 2005 : San Diego, CA, U.S.A.) |
Editor: | Schmid, C. Soatto, S. Tomasi, C. |
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. |
DOI: | 10.1109/CVPR.2005.355 |
Published version: | http://dx.doi.org/10.1109/cvpr.2005.355 |
Appears in Collections: | Aurora harvest Computer Science publications |
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