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Robust Nonparametric Regression with Output in SO(3)

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Computer Recognition Systems 4

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 95))

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Abstract

In this paper the implementation of robust nonparametric kernel estimator for SO(3) group is presented.We propose the conjugate gradient method for solving the optimization problem, which arises during computation of the estimator. Finally an experiment with database of toy figure images together with their rotations is conducted.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Jagiellonian University, ul. Łojasiewicza 6, Krakow, Poland

    Grzegorz Jabłoński

Authors
  1. Grzegorz Jabłoński
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Editor information

Editors and Affiliations

  1. Department of Systems and Computer Networks, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Robert Burduk , Marek Kurzyński  & Andrzej Żołnierek ,  & 

  2. Department of Systems and Computer Networks, Faculty of Electronics, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

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© 2011 Springer-Verlag Berlin Heidelberg

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Jabłoński, G. (2011). Robust Nonparametric Regression with Output in SO(3). In: Burduk, R., Kurzyński, M., Woźniak, M., Żołnierek, A. (eds) Computer Recognition Systems 4. Advances in Intelligent and Soft Computing, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20320-6_14

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  • DOI: https://doi.org/10.1007/978-3-642-20320-6_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20319-0

  • Online ISBN: 978-3-642-20320-6

  • eBook Packages: EngineeringEngineering (R0)

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