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Comparison of Visual Descriptors for 3D Reconstruction of Non-rigid Planar Surfaces

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Image Processing and Communications Challenges 9 (IP&C 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 681))

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Abstract

In the deformable surface reconstruction, one relies on local descriptors to be able to perform matching between a reference frame and a deformed frame and afterwards perform optimisation to obtain the reconstruction. The quality of surface modelling highly depends on the matching process. Therefore, I am testing the performance of different detector-descriptor pairs in order to provide hints, which of these is best suitable for 3D reconstruction of non-rigid planar surfaces.

This work was supported by grant No. LIDER/3/0183/L-7/15/NCBR/2016 funded by The National Centre for Research and Development (Poland).

The original version of this chapter was revised: Frontmatter of the chapter has been updated with the provided text. The erratum to this chapter is available at https://doi.org/10.1007/978-3-319-68720-9_23

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Acknowledgments

This work was supported by grant No. LIDER/3/0183/L-7/15/NCBR/2016 funded by The National Centre for Research and Development (Poland).

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Authors and Affiliations

  1. Institute of Control and Information Engineering, Poznan University of Technology, Poznań, Poland

    Michał Bednarek

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  1. Michał Bednarek
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Correspondence to Michał Bednarek .

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Editors and Affiliations

  1. University of Science and Technology, UTP, Bydgoszcz, Poland

    Michał Choraś

  2. University of Science and Technology, UTP, Bydgoszcz, Poland

    Ryszard S. Choraś

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Bednarek, M. (2018). Comparison of Visual Descriptors for 3D Reconstruction of Non-rigid Planar Surfaces. In: Choraś, M., Choraś, R. (eds) Image Processing and Communications Challenges 9. IP&C 2017. Advances in Intelligent Systems and Computing, vol 681. Springer, Cham. https://doi.org/10.1007/978-3-319-68720-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-68720-9_22

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