The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Geometric motion segmentation and model selection
Abstract
this paper we place the three problems into a common statistical framework; investigating the use of information criteria and robust mixture models as a principled way for motion segmentation of images. The final result is a general fully automatic algorithm for clustering that works in the presence of noise and outliers. 1. Introduction
Overview
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
A Combined Corner and Edge Detector
Harris, C., & Stephens, M. (1988) · Procedings of the Alvey Vision Conference 1988 · doi:10.5244/c.2.23 · Cited by 12,901
Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
Bozdogan, H. (1987) · Psychometrika · doi:10.1007/bf02294361 · Cited by 4,468
A formal theory of inductive inference. Part I
Solomonoff, R. J. (1964) · Information and Control · doi:10.1016/s0019-9958(64)90223-2 · Cited by 1,192
Cited by
A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms
Tron, R., & Vidal, R. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.382974 · Cited by 658
Fast approximate energy minimization with label costs
Delong, A., Osokin, A., Isack, H. N., & Boykov, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539897 · Cited by 404
Feature Correspondence Via Graph Matching: Models and Global Optimization
Torresani, L., Kolmogorov, V., & Rother, C. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-88688-4_44 · Cited by 388
Fast Approximate Energy Minimization with Label Costs
Delong, A., Osokin, A., Isack, H. N., & Boykov, Y. (2012) · International Journal of Computer Vision · doi:10.1007/s11263-011-0437-z · Cited by 381
Learning Motion Patterns in Videos
Tokmakov, P., Alahari, K., & Schmid, C. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.64 · Cited by 267
Metadata
- Authors
- Torr, P. H. S.
- Venue
- Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
- Publisher
- The Royal Society
- Published
- 1998-05-15
- Volume
- 356
- Issue
- 1740
- Pages
- 1321-1340
- ISSN
- 1364-503X (ISSN-L)
- 1471-2962
- OpenAlex
- W2002875082
- Cited by
- 307
- References
- 5
- FWCI
- 6.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- Torr, P. H. S. (1998). Geometric motion segmentation and model selection. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences. https://doi.org/10.1098/rsta.1998.0224
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
