Object representation in computer vision II : ECCV '96 International Workshop, Cambridge, U.K., April 13 14, 1996 : proceedings

This book constitutes the strictly refereed post-workshop proceedings of the second International Workshop on Object Representation in Computer Vision, held in conjunction with ECCV '96 in Cambridge, UK, in April 1996. The 15 revised full papers contained in the book were selected from 45 submi...

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Dades bibliogràfiques
Autor corporatiu: European Conference on Computer Vision :Cambridge, Grande-Bretagne
Altres autors: Ponce, Jean, 1958- (Director editorial), Zisserman, Andrew, 1957- (Director editorial), Hebert, Martial, 1958- (Director editorial)
Format: Livre numérique
Idioma:Anglais
Publicat: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Col·lecció:Lecture notes in computer science 1144
Matèries:
Accés en línia:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Object representation in computer vision II, ECCV '96 International Workshop, Cambridge, U.K., April 13-14, 1996, proceedings, Jean Ponce, Andrew Zisserman, Martial Ebert (eds.), 1996, Berlin, Springer, 1 vol. (VIII-401 p.), Lecture notes in computer science, 3-540-61750-7
• Object Representation in Computer Vision II, Texte imprimé, 9783662196267
Taula de continguts:
  • Report on the 1996 international workshop on object representation in computer vision
  • From an intensity image to 3-D segmented descriptions
  • Recovering Generalized Cylinders by monocular vision
  • Combinatorial geometry for shape representation and indexing
  • Representing objects using topology
  • Curvature based signatures for object description and recognition
  • On 3D shape synthesis
  • Shape constancy in pictorial relief
  • Dimensionality of illumination manifolds in appearance matching
  • Learning object representations from lighting variations
  • Learning appearance models for object recognition
  • An image oriented CAD approach
  • An experimental comparison of appearance and geometric model based recognition
  • Virtualized reality: Being mobile in a visual scene
  • Generic shape learning and recognition
  • A hybrid approach to 3D representation
  • Finding pictures of objects in large collections of images
  • Beyond the Hough transform: Further properties of the R? mapping and their applications
  • Non-Euclidean object representations for calibration-free video overlay.