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Affine Moment Invariants Generated by Automated Solution of the Equations

Result description

Pattern recognition of objects on affinely distorted images based on moments is important task researched for many years. Affine moment invariants are significant tool for it. They can be generated by a few methods. Automated direct solution of the Cayley ? Aronhold differential equation has not been referred yet. It makes possible to generate invariants with much higher weights than other methods, but we must pay more attention to the numerical stability of the computation. The method is demonstrated on examples.

Keywords

affine moment invariantsobject recognitionCayley-Aronhold differential equation

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Affine Moment Invariants Generated by Automated Solution of the Equations

  • Original language description

    Pattern recognition of objects on affinely distorted images based on moments is important task researched for many years. Affine moment invariants are significant tool for it. They can be generated by a few methods. Automated direct solution of the Cayley ? Aronhold differential equation has not been referred yet. It makes possible to generate invariants with much higher weights than other methods, but we must pay more attention to the numerical stability of the computation. The method is demonstrated on examples.

  • Czech name

    Afinní momentové invarianty generované automatizovaným řešením rovnic

  • Czech description

    Rozpoznávání objektů na afinně zkreslených obrázcích založené na momentech je důležitá úloha řešená po mnoho let. Afinní momentové invarianty jsou v tom důležitám nástrojem. Mohou bát generovány několika metodami. Automatizované přímé řešení Cayleyovy ?Aronholdovy diferenciální rovnice dosud nebylo publikováno. Umožňuje generovat invarianty mnohem vyšších vah než jiné metody, ale musíme věnovat pozornost numerické stabilitě výpočtu. Metoda je předvedena na příkladech.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Others

  • Publication year

    2008

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 19th International Conference on Pattern Recognition

  • ISBN

    978-1-4244-2174-9

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

  • Publisher name

    IEEE Press

  • Place of publication

    Los Alamitos

  • Event location

    Tampa

  • Event date

    Dec 7, 2008

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

Basic information

Result type

D - Article in proceedings

D

CEP

JD - Use of computers, robotics and its application

Year of implementation

2008