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Recursive estimation of motion, structure, and focal length
Abstract
Presents a formulation for recursive recovery of motion, pointwise structure, and focal length from feature correspondences tracked through an image sequence. In addition to adding focal length to the state vector, several representational improvements are made over earlier structure from motion formulations, yielding a stable and accurate estimation framework which applies uniformly to both true perspective and orthographic projection. Results on synthetic and real imagery illustrate the performance of the estimator.>
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Cited by
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
Debevec, P. E., Taylor, C. J., & Malik, J. (1996) · Proceedings of the 23rd annual conference on Computer graphics and interactive techniques · doi:10.1145/237170.237191 · Cited by 1,905
Visual tracking and recognition using appearance-adaptive models in particle filters
Zhou, S. K., Chellappa, R., & Moghaddam, B. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2004.836152 · Cited by 668
Monocular model-based 3D tracking of rigid objects: a survey
Lepetit, V., & Fua, P. (2005) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000001 · Cited by 484
Strasdat, H., Montiel, J. M. M., & Davison, A. J. (2012) · Image and Vision Computing · doi:10.1016/j.imavis.2012.02.009 · Cited by 439
Eade, E., & Drummond, T. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.263 · Cited by 396
Metadata
- Authors
- Azarbayejani, A., & Pentland, A. P.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1995-06
- Volume
- 17
- Issue
- 6
- Pages
- 562-575
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2144573889
- Cited by
- 484
- References
- 0
- FWCI
- 20.68
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Recursive estimation of motion, structure, and focal length. https://app.cochat.ai/papers/10.1109/34.387503
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- Azarbayejani, A., & Pentland, A. P. (1995). Recursive estimation of motion, structure, and focal length. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.387503
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
