3D structures for generic object recognition

Author

Medioni, Gérard G. ; François, Alexandre R J

Author_Institution

Inst. for Robotics & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

30

Abstract

We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing objects that might never have been observed before, and for which no exact geometric model is available. We discuss the representation scheme and its relationships to the three main tasks to solve: extracting descriptions from real images, under a wide variety of viewing conditions; learning new objects by storing their description in a database; and recognizing objects by matching their description to that of similar previously observed objects

Keywords

image matching; image representation; learning systems; object recognition; visual databases; 3D object recognition; image database; image representation; learning; pattern matching; volumetric description; Data mining; Image databases; Image recognition; Indexing; Intelligent robots; Intelligent systems; Object recognition; Shape; Solid modeling; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.905270

Filename

905270