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Color and grey level object retrieval using a 3D representation of force histogram

Identifieur interne : 000794 ( PascalFrancis/Corpus ); précédent : 000793; suivant : 000795

Color and grey level object retrieval using a 3D representation of force histogram

Auteurs : S. Tabbone ; L. Wendling

Source :

RBID : Pascal:03-0258071

Descripteurs français

English descriptors

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

pA  
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A02 01      @0 IVCODK
A03   1    @0 Image Vision Comput
A05       @2 21
A06       @2 6
A08 01  1  ENG  @1 Color and grey level object retrieval using a 3D representation of force histogram
A11 01  1    @1 TABBONE (S.)
A11 02  1    @1 WENDLING (L.)
A14 01      @1 LORIA Campus Scientifique @2 Vandoeuvre-les-Nancy Cedex 54-506 @3 FRA @Z 1 aut.
A20       @1 483-495
A21       @1 2003
A23 01      @0 ENG
A43 01      @1 INIST @2 22084
A44       @0 A100
A45       @0 35 Refs.
A47 01  1    @0 03-0258071
A60       @1 P
A61       @0 A
A64 01  1    @0 Image and Vision Computing
A66 01      @0 GBR
C01 01    ENG  @0 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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C03 01  1  ENG  @0 Histograms @4 INC
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C03 03  1  FRE  @0 Reconnaissance objet
C03 03  1  ENG  @0 Object recognition
C03 04  1  FRE  @0 Infographie tridimensionnelle
C03 04  1  ENG  @0 Three dimensional computer graphics
C03 05  1  FRE  @0 Extraction caractéristique
C03 05  1  ENG  @0 Feature extraction
C03 06  1  FRE  @0 Photométrie
C03 06  1  ENG  @0 Photometry
C03 07  1  FRE  @0 Géométrie algorithmique
C03 07  1  ENG  @0 Computational geometry
C03 08  1  FRE  @0 Recherche image @3 P
C03 08  1  ENG  @0 Image retrieval @3 P
N21       @1 167

Format Inist (serveur)

NO : PASCAL 03-0258071 EI
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

Links to Exploration step

Pascal:03-0258071

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