Object Representation in Computer Vision II

ECCV '96 International Workshop, Cambridge, UK, April 13 - 14, 1996. Proceedings
1996
ISBN: 978-3-540-61750-1
Verlag: Springer Berlin Heidelberg

Buch, Englisch, Band 1144, 411 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1290 g

Reihe: Lecture Notes in Computer Science

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 submissions for presentation at the workshop. Also included are three invited contributions based on the talks by Takeo Kanade, Jan Koenderink, and Ram Nevatia as well as a workshop report by the volume editors summarizing several panel discussions and the general state of the art in the area.

Zielgruppe

Research

Autoren/Hrsg.

Ponce, Jean

Hebert, Martial

Zisserman, Andrew

Fachgebiete

• Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Grafikprogrammierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

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.