The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Equivalence and efficiency of image alignment algorithms
Abstract
There are two major formulations of image alignment using gradient descent. The first estimates an additive increment to the parameters (the additive approach), the second an incremental warp (the compositional approach). We first prove that these two formulations are equivalent. A very efficient algorithm was proposed by Hager and Belhumeur (1998) using the additive approach that unfortunately can only be applied to a very restricted class of warps. We show that using the compositional approach an equally efficient algorithm (the inverse compositional algorithm) can be derived that can be applied to any set of warps which form a group. While most warps used in computer vision form groups, there are a certain warps that do not. Perhaps most notable is the set of piecewise affine warps used in flexible appearance models (FAMs). We end this paper by extending the inverse compositional algorithm to apply to FAMs.
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Efficient region tracking with parametric models of geometry and illumination
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Fast Image-Based Tracking by Selective Pixel Integration
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Klein, G., & Murray, D. (2007) · 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2007.4538852 · Cited by 4,346
Active Appearance Models Revisited
Matthews, I., & Baker, S. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029666.37597.d3 · Cited by 1,535
Self-citationThe BoneXpert Method for Automated Determination of Skeletal Maturity
Thodberg, H. H., Kreiborg, S., Juul, A., & Pedersen, K. D. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.926067 · Cited by 438
Efficient, robust and accurate fitting of a 3D morphable model
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Metadata
- Authors
- Baker, S., & Matthews, I.
- Venue
- Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001
- Publisher
- IEEE Comput. Soc
- Published
- 2005-08-24
- Volume
- 1
- Pages
- I-1090-I-1097
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2096503284
- Cited by
- 406
- References
- 11
- FWCI
- 24.23
- Type
- conference paper
- Language
- en
- Open access
- closed
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