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METHOD AND APPARATUS FOR DETECTING OBJECT USING VOLUMETRIC FEATURE VECTOR AND 3D HAAR-LIKE FILTERS

机译:用体积特征矢量和3D哈尔样滤波器检测物体的方法和装置

摘要

In a method of detecting a specific object using a multi-dimensional image including the specific object, with respect to each window slide of the image subjected to window sliding by applying a previously generated 3D cube filter, data of an area corresponding to the window sliding is normalized in a previously defined specific form. After the corresponding part of the normalized data is assigned to each cell in the 3D cube filter, a volume of the cell is then calculated, thereby expressing the volumes of the cells as one volumetric feature vector having a volumetric feature. The volumetric feature vector is applied to a classifier so as to decide whether or not the data of the area corresponding to the window slide corresponds to the specific object.
机译:在使用包括特定对象的多维图像来检测特定对象的方法中,对于通过应用先前生成的3D立方体过滤器而经历了窗口滑动的图像的每个窗口滑动,对应于窗口滑动的区域的数据以预先定义的特定形式标准化。在将归一化数据的对应部分分配给3D立方体过滤器中的每个单元之后,然后计算单元的体积,从而将单元的体积表示为具有体积特征的一个体积特征向量。体积特征向量被应用于分类器,以便确定与窗口幻灯片相对应的区域的数据是否对应于特定对象。

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