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A modified shape context method for shape based object retrieval

机译:一种基于形状的对象检索的改进形状上下文方法

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摘要

The complexity in shape context method and its simplification is addressed. A novel, but simple approach to design shape context method including Fourier Transform for the object recognition is described. Relevance of shape context, an important descriptor for the recognition process is detailed. Inclusion of information regarding all the contour points (with respect to a reference point) in computing the distribution is discussed. Role of similarity checking the procedure details regarding the computation of matching errors through the alignment transform are discussed. Present case of shape context (for each point with respect to the centroid) descriptor is testified for its invariance to translation, rotation and scaling operations. Euclidean distance is used during the similarity matching. Modified shape context based descriptor is experimented over three standard databases. The results evidence the relative efficiency of the modified shape context based descriptor than that reported for other descriptor of concurrent interests.
机译:解决了形状上下文方法的复杂性及其简化问题。描述了一种新颖但简单的设计形状上下文方法的方法,该方法包括用于对象识别的傅里叶变换。形状上下文的相关性,是识别过程的重要描述符。讨论了在计算分布时包括有关所有轮廓点(相对于参考点)的信息。讨论了相似性检查过程细节的作用,该细节与通过对齐变换计算匹配误差有关。形状上下文(相对于质心的每个点)描述符的当前情况因其对平移,旋转和缩放操作的不变性而得到证明。在相似度匹配期间使用欧几里得距离。在三个标准数据库上对基于修饰语境的描述符进行了实验。结果证明了,基于修改后的形状上下文描述子的相对效率要高于针对其他并发兴趣描述子的效率。

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