DocumentCode
383480
Title
Object recognition from 3D blurred images
Author
Boucher, Alain ; Thonnat, Monique
Author_Institution
INRIA, Sophia-Antipolis, France
Volume
1
fYear
2002
fDate
2002
Firstpage
800
Abstract
This paper presents a novel approach for 3D object recognition and classification. The originality of this approach is the combination of statistical reasoning, feature learning and expertise knowledge from the application. It is based on 2D processing of images alternating with 3D validation of class characteristics for recognition. Classification is based on iterative refinement of hypotheses. An application is presented for pollen grain observed with light microscopy for allergy prevention.
Keywords
biological techniques; biology computing; image recognition; inference mechanisms; object recognition; optical microscopy; 3D blurred images; allergy prevention; class characteristics; expertise knowledge; feature learning; iterative refinement; light microscopy; object classification; object recognition; pollen grain; statistical reasoning; Biomedical equipment; Character recognition; Humans; Image analysis; Image recognition; Medical services; Microscopy; Object recognition; Optical refraction; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1044880
Filename
1044880
Link To Document