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Object candidate area estimation device, object candidate area estimation method, and object candidate area estimation program

机译:对象候选区域估计装置,对象候选区域估计方法和对象候选区域估计程序

摘要

PROBLEM TO BE SOLVED: To provide an object candidate area estimation device, an object candidate area estimation method and an object candidate area estimation program which can estimate a candidate area which is a candidate of an area which suitably contains a single object in an image at high speed and with smaller number of the candidates.SOLUTION: A method includes steps of: accepting a visible light image and a depth image as inputs; estimating candidate area groups which consists of a plurality of candidate areas which are candidates of areas capturing objects, from the visible light image; deleting the candidate area determined that a substance projected in the candidate area is not the object, from the candidate area groups, based on the depth image; estimating object likelihood indicating the degree of a capture state in which the candidate area has caught a single object, about each of the candidate area which was not deleted, based on the depth change between pixels in the depth image; and correcting the shape of the candidate area so as to increase the object likelihood, about each of the candidate area which was not deleted.SELECTED DRAWING: Figure 1
机译:解决的问题:为了提供一种对象候选区域估计装置,一种对象候选区域估计方法和一种对象候选区域估计程序,其可以估计作为在图像中适当地包含单个对象的区域的候选的候选区域。解决方案:一种方法包括以下步骤:接受可见光图像和深度图像作为输入;从可见光图像估计由多个候选区域组成的候选区域组,所述多个候选区域是捕获对象的区域的候选;基于深度图像,从候选区域组中删除确定为在候选区域中投影的物质不是对象的候选区域;基于深度图像中像素之间的深度变化,估计指示未候选区域捕获了单个对象的捕获状态的程度的对象似然度,该候选状态关于未被删除的每个候选区域。并针对未删除的每个候选区域校正候选区域的形状,以增加对象的可能性。

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