Two-view multibody structure-and-motion with outliers through model selection.

Full Abstract

Multibody 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.

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Author information

Author/s: Schindler, Konrad (K); Suter, David (D);

Affiliation: Electrical and Computer Systems Engineering Department, Monash University, Clayton Campus, Wellington Road, 3800 VIC, Australia. konrad.schindler(-atsign-)eng.monash.edu.au

Journal and publication information

Publication Type: Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't

Journal: IEEE transactions on pattern analysis and machine intelligence (IEEE Trans Pattern Anal Mach Intell), published in United States. (Language: eng)

Reference: 2006-Jun; vol 28 (issue 6) : pp 983-95

Dates: Created 2006/05/26; Completed 2006/06/20; Revised 2006/11/15;

PMID: 16724591, status: MEDLINE (last retrieval date: 12/26/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MESH Headings shown below.

Algorithms
Artificial Intelligence
Computer Simulation
Humans
Image Interpretation, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Information Storage and Retrieval - methods

Information Storage and Retrieval - methods
Models, Biological
Motion
Movement - physiology
Pattern Recognition, Automated - methods
Reproducibility of Results
Sensitivity and Specificity

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