Object recognition from 3D blurred images

被引：0
|
作者：
Boucher, Alain [1 ]
Thonnat, Monique [1 ]
机构：
[1] INRIA, B.P. 93, F-06902 Sophia-Antipolis Cedex, France
来源：
Proceedings - International Conference on Pattern Recognition | 2002年 / 16卷 / 01期
关键词：
Image analysis - Learning systems - Optical microscopy - Statistical methods - Three dimensional computer graphics;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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. © 2002 IEEE.
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页码：800 / 803
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