3D Object Recognition Using Fuzzy Mathematical Modeling of 2D Images

被引：0

作者：

Sheta, Alaa F. ^{[1
]}

Baareh, Abdelkarim ^{[2
]}

Ai-Batah, Mohammad ^{[3
]}

机构：

[1] WISE Univ, Dept Comp Sci, Amman 11947, Jordan

[2] Al Balqa Appl Univ, Dept Comp Sci, Ajlune Coll, Salt, Jordan

[3] Jadara Univ, Fac Sci & IT, Irbid, Jordan

来源：

2012 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS) | 2012年

关键词：

fuzzy logic; 3D object recognition; pattern recognition; features extraction; computer vision; MOMENT INVARIANTS; FEATURES; VISION; SYSTEM;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Recent research in the area of 3D object recognition claim that it is possible to recognize the objects based on 2D images. The recognition process depends on using set of features extracted from the collected images. In this paper, we captured 792 images for eleven 3D Polyhedral objects. A complete image processing stages were implemented. They include image acquisition, pre-processing, feature extraction and classification using a fuzzy mathematical model of the extracted features. The recognition results show that the proposed fuzzy system is significant for classifying the 3D objects with excellent performance.

引用

页码：278 / 283

页数：6

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