標題: Shape Memorization and Recognition of 3D Objects Using 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;fourier descriptor;object recognition;shape memorization;similarity measure
公開日期: 1-一月-2009
摘要: This work proposes an incremental combinational algorithm to generate the prototype of a 3D object using 2D images randomly sampled from a viewing sphere. Similarity-based aspect-graph, which contains a set of aspects and prototypes for these aspects, is employed to represent the database of 3D objects. Furthermore, the proposed algorithm is based on low-level features and similarity measures between the features. In this work, the Fourier descriptor and point-to-point lengths are adopted as features, and three similarity measures, called the 1-norm, 2-norm, and K-L distance, are adopted to extract characteristic views. The effectiveness of the proposed algorithm is demonstrated by experiments with an updating mechanism.
URI: http://hdl.handle.net/11536/7978
ISSN: 1016-2364
期刊: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Volume: 25
Issue: 1
起始頁: 289
結束頁: 301
顯示於類別:會議論文


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