Color and grey level object retrieval using a 3D representation of force histogram
Identifieur interne : 000794 ( PascalFrancis/Corpus ); précédent : 000793; suivant : 000795Color and grey level object retrieval using a 3D representation of force histogram
Auteurs : S. Tabbone ; L. WendlingSource :
- Image and Vision Computing [ 0262-8856 ] ; 2003.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
A new method for both grey level and color object retrieval is presented in this paper. Our feature is based on previous works on force histogram notion which is extended here to handle with photometric information. This kind of feature has low computing time and allows keeping fundamental geometric transformations as scale, translation, symmetry and rotation. More precisely objects processed by defining a tridimensional signature which takes into account their photometric variations and their shapes. Experimental results show the promising aspect of our approach. © 2003 Published by Elsevier Science B.V.
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Format Inist (serveur)
NO : | PASCAL 03-0258071 EI |
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ET : | Color and grey level object retrieval using a 3D representation of force histogram |
AU : | TABBONE (S.); WENDLING (L.) |
AF : | LORIA Campus Scientifique/Vandoeuvre-les-Nancy Cedex 54-506/France (1 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Image and Vision Computing; ISSN 0262-8856; Coden IVCODK; Royaume-Uni; Da. 2003; Vol. 21; No. 6; Pp. 483-495; Bibl. 35 Refs. |
LA : | Anglais |
EA : | A new method for both grey level and color object retrieval is presented in this paper. Our feature is based on previous works on force histogram notion which is extended here to handle with photometric information. This kind of feature has low computing time and allows keeping fundamental geometric transformations as scale, translation, symmetry and rotation. More precisely objects processed by defining a tridimensional signature which takes into account their photometric variations and their shapes. Experimental results show the promising aspect of our approach. © 2003 Published by Elsevier Science B.V. |
CC : | 001D02B; 001D02B12; 001B40B; 001B00G60; 001A02B |
FD : | Théorie; Reconnaissance objet; Infographie tridimensionnelle; Extraction caractéristique; Photométrie; Géométrie algorithmique; Recherche image |
ED : | Histograms; Theory; Object recognition; Three dimensional computer graphics; Feature extraction; Photometry; Computational geometry; Image retrieval |
LO : | INIST-22084 |
ID : | 03-0258071 |
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Pascal:03-0258071Le document en format XML
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