Eigenconjugation: An Approach for Computing Image Similarity

Autor:	J. Figueroa-Nazuno, J. Medina-Apodaca, V. Ortega-Gonzalez, V. Landassuri-Moreno, A. Angeles-Yreta
Rok vydání:	2006
Předmět:	Similarity (network science) Computer science ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION MathematicsofComputing_NUMERICALANALYSIS Square matrix Algorithm Square (algebra) Eigenvalues and eigenvectors Image (mathematics)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540465560 CIARP
DOI:	10.1007/11892755_24
Popis:	We introduce a method for computing similarity between two square matrices based on the information given by their eigenvalues and eigenvectors. The idea is to evaluate the effect of the conjugation of the original matrices and the eigenvectors and eigenvalues of each other. Then, we exemplify its utility for computing similarity between square images from a classified bank of pictures. The performance of the method is evaluated with diverse experiments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::847e1598ce60e099963f71f428773a0f https://doi.org/10.1007/11892755_24 Zobrazit plný text záznamu