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Front. Inform. Technol. Electron. Eng.  2013, Vol. 14 Issue (7): 495-504    DOI: 10.1631/jzus.CIDE1303
    
A review of object representation based on local features
Jian Cao, Dian-hui Mao, Qiang Cai, Hai-sheng Li, Jun-ping Du
College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
A review of object representation based on local features
Jian Cao, Dian-hui Mao, Qiang Cai, Hai-sheng Li, Jun-ping Du
College of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China; School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China
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摘要： Object representation based on local features is a topical subject in the domain of image understanding and computer vision. We discuss the defects of global features in present methods and the advantages of local features in object recognition, and briefly explore state-of-the-art recognition methods using local features, especially the main approaches of local feature extraction and object representation. To clearly explain these methods, the problem of local feature extraction is divided into feature region detection, feature region description, and feature space optimization. The main components and merits of these steps are presented. Technologies for object presentation are classified into three types: vector space, sliding window, and structure relationship models. Future development trends are discussed briefly.
关键词： Object presentation;  Local feature;  Image understanding;  Object recognition;  Visual words    
Abstract: Object representation based on local features is a topical subject in the domain of image understanding and computer vision. We discuss the defects of global features in present methods and the advantages of local features in object recognition, and briefly explore state-of-the-art recognition methods using local features, especially the main approaches of local feature extraction and object representation. To clearly explain these methods, the problem of local feature extraction is divided into feature region detection, feature region description, and feature space optimization. The main components and merits of these steps are presented. Technologies for object presentation are classified into three types: vector space, sliding window, and structure relationship models. Future development trends are discussed briefly.
Key words: Object presentation    Local feature    Image understanding    Object recognition    Visual words
收稿日期: 2012-12-29 出版日期: 2013-07-05
CLC:  TP391.41  
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Jian Cao
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Jun-ping Du

引用本文:

Jian Cao, Dian-hui Mao, Qiang Cai, Hai-sheng Li, Jun-ping Du. A review of object representation based on local features. Front. Inform. Technol. Electron. Eng., 2013, 14(7): 495-504.

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