InforLorV4, Main, Exploration, bibRecordById, Pascal:08-0067642

Shape Recognition Via an a Contrario Model for Size Functions

Identifieur interne : 005389 ( Main/Exploration ); précédent : 005388; suivant : 005390

Shape Recognition Via an a Contrario Model for Size Functions

Auteurs : Andrea Cerri [Italie] ; Daniela Giorgi [Italie] ; Pablo Musé [France] ; Frédéric Sur [France] ; Federico Tomassini [Italie]

Source :

Lecture Notes in Computer Science [ 0302-9743 ]

RBID : ISTEX:CA12A6D1CA4ABAA8512DD5BF5BBD8161A8992E89

Descripteurs français

Pascal (Inist)
- Analyse image, Analyse statistique, Approche probabiliste, Forme géométrique, Mesure probabilité, Modélisation, Métrique, Raisonnement basé sur cas, Reconnaissance forme, Reconnaissance image, Similitude, Traitement image, Variabilité.

English descriptors

KwdEn :
- Case based reasoning, Geometrical shape, Image analysis, Image processing, Image recognition, Metric, Modeling, Pattern recognition, Probabilistic approach, Probability measure, Similarity, Statistical analysis, Variability.

Abstract

Abstract: Shape recognition methods are often based on feature comparison. When features are of different natures, combining the value of distances or (dis-)similarity measures is not easy since each feature has its own amount of variability. Statistical models are therefore needed. This article proposes a statistical method, namely an a contrario method, to merge features derived from several families of size functions. This merging is usually achieved through a touchy normalizing of the distances. The proposed model consists in building a probability measure. It leads to a global shape recognition method dedicated to perceptual similarities.

Url:

DOI: 10.1007/11867661_37

Affiliations:

Le document en format XML

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Shape Recognition Via an a Contrario Model for Size Functions

Shape Recognition Via an a Contrario Model for Size Functions

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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