標題: FLEXIBLE 3D OBJECT RECOGNITION FRAMEWORK USING 2D VIEWS VIA A SIMILARITY-BASED ASPECT-GRAPH APPROACH
作者: Hu, Jwu-Sheng
Su, Tzung-Min
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Aspect-graph;object representation;object recognition;human posture recognition;scene recognition
公開日期: 1-九月-2008
摘要: This work presents a flexible framework for recognizing 3D objects from 2D views. Similarity-based aspect-graph, which contains a set of aspects and prototypes for these aspects, is employed to represent the database of 3D objects. An incremental database construction method that maximizes the similarity of views in the same aspect and minimizes the similarity of prototypes is proposed as the core of the framework to build and update the aspect-graph using 2D views randomly sampled from a viewing sphere. The proposed framework is evaluated on various object recognition problems, including 3D object recognition, human posture recognition and scene recognition. Shape and color features are employed in different applications with the proposed framework and the top three matching rates show the efficiency of the proposed method.
URI: http://dx.doi.org/10.1142/S0218001408006685
http://hdl.handle.net/11536/8413
ISSN: 0218-0014
DOI: 10.1142/S0218001408006685
期刊: INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE
Volume: 22
Issue: 6
起始頁: 1141
結束頁: 1169
顯示於類別:期刊論文


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