Título:
An a contrario decision method for shape element recognition
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Autor:
Musé, Pablo
Sur, Frederic
Cao, Frederic
Gousseau, Yann
Sur, Frederic
Cao, Frederic
Gousseau, Yann
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Planar shape recognition
Background model
Number of false alarms
Meaningful matches
Level lines
Background model
Number of false alarms
Meaningful matches
Level lines
Descriptores:
PROCESAMIENTO de SEÑALES
Año de publicación:
2005
Contenido:
Resumen:
Shape recognition is the field of computer vision which addresses the problem of finding out whethera query shape lies or not in a shape database, up to a certain invariance. Most shape recognition methods simplysort shapes from the database along some (dis-)similarity measure to the query shape. Their main weakness is thedecision stage, which should aim at giving a clear-cut answer to the question: “do these two shapes look alike?”In this article, the proposed solution consists in bounding the number of false correspondences of the query shapeamong the database shapes, ensuring that the obtained matches are not likely to occur “by chance”. As an application,one can decide with a parameterless method whether any two digital images share some shapes or not
Descripción:
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Editorial:
Elsevier
EN:
Financiadores:
Citación:
Musé, P., Sur, F., Cao, F., Gousseau, Y. An a contrario decision method for shape element recognition. International Journal of Computer Vision, 2006, v. 69, no.3
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Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
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