A NEW OBJECT RECOGNITION SYSTEM

被引：0

作者：

Sergeev, Nikolai ^{[1
]}

Palm, Guenther ^{[1
]}

机构：

[1] Univ Ulm, Inst Neural Informat Proc, Ulm, Germany

来源：

VISAPP 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS | 2011年

关键词：

Object recognition system; Invariant object representation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a new 2D object recognition system. The object representation used by the system is rotation, translation, scaling and reflection invariant. The system is highly robust to partial occlusion, deformation and perspective change. The last makes it applicable to 3D tasks. Color information can be ignored as well as combined with form representation. The boundary of an object to be recognized doesn't need to be path-connected. The time demand to learn a new object doesn't depend on the number of objects already learned. No object segmentation prior to recognition is needed. To evaluate the system the 3D object library COIL-100 was used.

引用

页码：395 / 400

页数：6

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