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Combination of histogram of oriented gradients and hierarchical centroid for sketch-based image retrieval

机译:结合基于梯度的直方图和层次质心进行基于草图的图像检索

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The sketch based image retrieval (SBIR) systems is still little argued and debated. Histogram of oriented gradients (HOG) has shown good performance in sketch based retrieval systems over all other methods. In this paper, we propose an enhancement of HOG by using HOG combined with hierarchical centroid of irregular shape. We also compare the result with original HOG, edge histogram and the shape properties descriptors. The system uses free-hand sketched queries as input and matches it with images from different 12 classes.
机译:基于草图的图像检索(SBIR)系统仍然很少有人争论。定向梯度直方图(HOG)在所有其他方法的基于草图的检索系统中均显示出良好的性能。在本文中,我们提出了结合HOG和不规则形状的分层质心来增强HOG的方法。我们还将结果与原始HOG,边缘直方图和形状属性描述符进行比较。该系统使用徒手绘制的查询作为输入,并将其与来自12个类别的图像进行匹配。

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