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FEATURE POINT DETECTION DEVICE, FEATURE POINT DETECTION METHOD, AND COMPUTER PROGRAM PRODUCT

机译:特征点检测装置,特征点检测方法以及计算机程序产品

摘要

According to an embodiment, a feature point detection device includes a generator to generate a K-class classifier and perform, for T times, an operation in which a first displacement vector is obtained that approximates D number of initial feature points of each training sample classified on a class-by-class basis to true feature points; a calculator to calculate, from the first displacement vectors, second displacement label vectors each unique to one second displacement vector, and a second displacement coordinate vector common to the second displacement vectors; a classifier to apply the K-class classifiers to the input image and obtain a second displacement label vector associated with a class identifier output from each K-class classifier; an adder to add up the second displacement label vectors; and a detector to detect D number of true feature points based on the initial feature points, the added label vector, and the second displacement coordinate vector.
机译:根据一个实施例,特征点检测设备包括生成器,该生成器生成K类分类器并执行T次操作,在该操作中,获得第一位移矢量,该第一位移矢量近似于被分类的每个训练样本的D个初始特征点。在逐个类别的基础上得出真实的特征点;计算器,用于从第一位移矢量计算每个第二位移矢量唯一的第二位移标签矢量,以及第二位移矢量共有的第二位移坐标矢量;分类器,将所述K类分类器应用于所述输入图像,并获取与每个K类分类器输出的类标识关联的第二位移标签矢量;加法器,将第二位移标签向量相加;检测器基于初始特征点,添加的标签矢量和第二位移坐标矢量来检测D个真实特征点。

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