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A NOVEL RELATIVE ORIENTATION FEATURE FOR SHAPE-BASED OBJECT RECOGNITION

机译:基于形状的对象识别的新的相对定向功能

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We propose a novel relative orientation feature (ROF) to represent the contour or skeleton of a twodimensional 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.
机译:我们提出了一种新颖的相对方向特征(ROF),以表示二维对象的轮廓或骨架。借助ROF,可以比较具有精细结构的两个对象的形状。与ROF匹配在平移,旋转和缩放变换方面是不变的。手势识别的实验结果证明了ROF的有效性和效率,识别率达98%,平均计算时间小于0.45ms /帧。

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