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A filtering strategy for interest point detecting to improve repeatability and information content / Q. Zhu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 5 (May 2007)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 5 (May 2007) . - pp 547 - 553 Titre : A filtering strategy for interest point detecting to improve repeatability and information content Type de document : Article/Communication Auteurs : Q. Zhu, Auteur ; B. Wu, Auteur ; N. Wan, Auteur Année de publication : 2007 Article en page(s) : pp 547 - 553 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] détection automatique [Termes IGN] filtrage de points [Termes IGN] point d'intérêt [Termes IGN] texture d'image Résumé : (Auteur) This paper compares several stereo image interest point detectors with respect to their repeatability and information content through experimental analysis. The Harris-Laplace detector gives better results than other detectors in areas of good texture; however, in areas of poor texture, the Harris-Laplace detector may be not the best choice. A feature-related filtering strategy is designed for the Harris-Laplace detector (as well as the standard Harris detector) to improve the repeatability and information content for imagery with both good and poor texture: (a) the local information entropy is computed to describe the local feature of the image; and (b) the redundant interest points are filtered according to the interest strength and the local information entropy. After the filtering process, the repeatability and information content of the final interest points are improved, and the mismatching then can be reduced. This conclusion is supported by experimental analysis with actual stereo images. Copyright ASPRS Numéro de notice : A2007-245 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.5.547 En ligne : https://doi.org/10.14358/PERS.73.5.547 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28608 [article]