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Statistical Optimization For Geometric Computation Theory And Practice 2005 Edition at Meripustak

Statistical Optimization For Geometric Computation Theory And Practice 2005 Edition

Books from same Author: KANATANI KENICHI

Books from same Publisher: DOVER PUBLICATIONS

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    • General Information  
    Author(s)KANATANI KENICHI
    PublisherDOVER PUBLICATIONS
    ISBN9780486443089
    Pages528
    BindingSoftbound
    LanguageEnglish
    Publish YearJuly 2005

    Description

    DOVER PUBLICATIONS Statistical Optimization For Geometric Computation Theory And Practice 2005 Edition by KANATANI KENICHI

    This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise - a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition. 1. Introduction2. Fundamentals of Linear Algebra3. Probabilities and Statistical Estimation4. Representation of Geometric Objects5. Geometric Correction6. 3-D Computation by Stereo Vision7. Parametric Fitting8. Optimal Filter9. Renormalization10. Applications of Geometric Estimation11. 3-D Motion Analysis12. 3-D Interpretation of Optical Flow13. Information Criterion for Model Selection14. General Theory of Geometric EstimationReferencesIndex