Abstract
This paper presents a novel point set registration algorithm based on iterative linear optimization, which can be used to register both rigid and non-rigid point set. Firstly, a new cost function was constructed to evaluate the summation of squared distance between the two point sets, in which rigid transformation, non-rigid elastic deformation and complex deformation were all included for consideration. Secondly, the proposed cost was linearized using to obtain a linear cost function of registration parameters. Thirdly, the registration parameters were solved by iterative optimization using Tikhonov regularization. Experimental results validated the performances of proposed method.
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Acknowledgments
This research was supported by National Natural Science Foundation of China (Grant No. 51305390, 61501394) and Natural Science Foundation of HeBei Province (Grant No. F2016203312).
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© 2016 Springer Science+Business Media Singapore
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Lin, H., Zhang, D. (2016). Non-rigid Point Set Registration Based on Iterative Linear Optimization. In: Tan, T., et al. Advances in Image and Graphics Technologies. IGTA 2016. Communications in Computer and Information Science, vol 634. Springer, Singapore. https://doi.org/10.1007/978-981-10-2260-9_19
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DOI: https://doi.org/10.1007/978-981-10-2260-9_19
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