Title :
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
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;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.905270
