一种新的基于形状的物体识别相对方向特征

2009 IEEE International Conference on Network Infrastructure and Digital Content Pub Date : 2009-12-31 DOI:10.1109/ICNIDC.2009.5360852

Yanyun Zhao, A. Cai

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引用次数: 5

摘要

我们提出了一种新的相对方向特征(ROF)来表示二维物体的轮廓或骨架。借助ROF，可以比较两个具有精细结构的物体的形状。与ROF的匹配在平移、旋转和缩放变换方面是不变的。手势识别实验结果证明了ROF算法的有效性和有效性，识别率达到98%，平均计算时间小于0.45ms/帧。

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A novel relative orientation feature for shape-based object recognition

We propose a novel relative orientation feature (ROF) to represent the contour or skeleton of a two-dimensional object. With the aid of ROF, the shapes of two objects with fine structures can be compared. Matching with ROF is invariant with respect to translation, rotation and scaling transforms. Experimental results on hand gesture recognition demonstrate the effectiveness and efficiency of ROF with the identification rate of 98% and the average computational time less than 0.45ms/frame.

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来源期刊

2009 IEEE International Conference on Network Infrastructure and Digital Content

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