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A Novel Consistency Regularizer for Meshless Nonrigid Image Registration

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Advances in Visual Computing (ISVC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6454))

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Abstract

In nonrigid motion analysis, deformation fields are often modeled using splines defined on a control-point grid. Inspired by recent development of meshfree methods, we propose a novel motion model that does not use control-point grids, nor use explicit node connections. We also propose a regularizer for the deformation field and the minimization algorithm. The method has promising features such as the handling of irregular regions, adaptive accuracy, the multi-scale modeling, and the potential for integrating physical properties into the registration process. Promising results were obtained on both synthetic and real imagery.

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Liu, W., Ribeiro, E. (2010). A Novel Consistency Regularizer for Meshless Nonrigid Image Registration. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2010. Lecture Notes in Computer Science, vol 6454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17274-8_24

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  • DOI: https://doi.org/10.1007/978-3-642-17274-8_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17273-1

  • Online ISBN: 978-3-642-17274-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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