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Real-time image-based tracking of planes using efficient second-order minimization
Open accessAbstract
The tracking algorithm presented in this paper is based on minimizing the sum-of-squared-difference between a given template and the current image. Theoretically, amongst all standard minimization algorithms, the Newton method has the highest local convergence rate since it is based on a second-order Taylor series of the sum-of-squared-differences. However, the Newton method is time consuming since it needs the computation of the Hessian. In addition, if the Hessian is not positive definite, convergence problems can occur. That is why several methods use an approximation of the Hessian. The price to pay is the loss of the high convergence rate. The aim of this paper is to propose a tracking algorithm based on a second-order minimization method which does not need to compute the Hessian.
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Cites
Efficient region tracking with parametric models of geometry and illumination
Hager, G. D., & Belhumeur, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.722606 · Cited by 1,066
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Engel, J., Schöps, T., & Cremers, D. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10605-2_54 · Cited by 3,851
Diffeomorphic demons: Efficient non-parametric image registration
Vercauteren, T., Pennec, X., Perchant, A., & Ayache, N. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.040 · Cited by 1,592
Pose estimation for augmented reality: a hands-on survey
Marchand, E., Uchiyama, H., & Spindler, F. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2015.2513408 · Cited by 746
GMS: Grid-Based Motion Statistics for Fast, Ultra-Robust Feature Correspondence
Bian, J., Lin, W.-Y., Matsushita, Y., Yeung, S.-K., Nguyen, T.-D., & Cheng, M.-M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2017.302 · Cited by 594
Metadata
- Authors
- Benhimane, S., & Malis, E.
- Venue
- 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)
- Publisher
- IEEE
- Published
- 2005-04-01
- Volume
- 1
- Pages
- 943-948
- OpenAlex
- W2130502925
- Cited by
- 277
- References
- 1
- FWCI
- 16.67
- Type
- conference paper
- Language
- en
- Open access
- green
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- Benhimane, S., & Malis, E. (2005). Real-time image-based tracking of planes using efficient second-order minimization. 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566). https://doi.org/10.1109/iros.2004.1389474
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