Shape matching and object recognition using shape contexts
Shape matching and object recognition using shape contexts
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DOI：
10.1109/iccsit.2010.5565098
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发表时间：
2010-07
期刊：
影响因子：
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通讯作者：
Suhas G. Salve;K. Jondhale
中科院分区：
文献类型：
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作者：
Suhas G. Salve;K. Jondhale
本文介绍了我的工作计算形状模型，计算速度快，不变的基本变换，如平移，缩放和旋转。在本文中，我提出了形状检测使用一个功能称为形状上下文。形状上下文描述形状相对于任何单个边界点的所有边界点。因此，它描述了物体的形状。对象识别可以通过将该特征与对象的边界点的形状上下文的先验知识相匹配来实现。在手写数字、商标图像上的实验结果是有希望的。
This paper presents my work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation. In this paper, I propose shape detection using a feature called shape context. Shape context describes all boundary points of a shape with respect to any single boundary point. Thus it is descriptive of the shape of the object. Object recognition can be achieved by matching this feature with a priori knowledge of the shape context of the boundary points of the object. Experimental results are promising on handwritten digits, trademark images.