公开(公告)号：US20170039686A1

公开(公告)日：2017-02-09

申请号：US15331910

申请日：2016-10-23

申请人： MORPHO, INC.

发明人： Takeshi MIURA ,  Shogo SAWAI ,  Yasuhiro KURODA ,  Hiroshi KOYAMA ,  Kazuhiro HIRAMOTO ,  Kosuke ISHIGURO ,  Ryo ONO

IPC分类号： G06T5/00 ,  G06K9/00 ,  G06T5/50 ,  G06T7/00

CPC分类号： G06T5/002 ,  G02B27/0075 ,  G06F3/04842 ,  G06F3/04845 ,  G06F3/04847 ,  G06F3/04883 ,  G06K9/00228 ,  G06T5/50 ,  G06T7/571 ,  G06T11/60 ,  G06T2200/24 ,  G06T2207/20101 ,  G06T2207/20221 ,  H04N13/207 ,  H04N2013/0081

摘要： An object of the present invention is to provide an image processing device and the like that can generate a composite image in a desired focusing condition. In a smartphone 1, an edge detecting section 107 detects an edge as a feature from a plurality of input images taken with different focusing distances, and detects the intensity of the edge as a feature value. A depth estimating section 111 then estimates the depth of a target pixel, which is information representing which of the plurality of input images is in focus at the target pixel, by using the edge intensity detected by the edge detecting section 107. A depth map generating section 113 then generates a depth map based on the estimation results by the depth estimating section 111.

摘要翻译： 本发明的目的是提供一种能够以期望的聚焦条件生成合成图像的图像处理装置等。 在智能电话1中，边缘检测部分107从以不同聚焦距离拍摄的多个输入图像中检测边缘作为特征，并且将边缘的强度检测为特征值。 然后，深度估计部分111通过使用由边缘检测部分107检测到的边缘强度来估计目标像素的深度，其是表示在目标像素处聚焦的多个输入图像中的哪个的信息。深度图生成 部分113然后基于深度估计部分111的估计结果生成深度图。

公开(公告)号：US20140161364A1

公开(公告)日：2014-06-12

申请号：US14179041

申请日：2014-02-12

申请人： Morpho, Inc.

发明人： Shogo SAWAI

IPC分类号： G06K9/62

CPC分类号： G06K9/6267 ,  G06K9/00228 ,  G06K9/6257

摘要： An object detection apparatus that detects an object to be detected captured in a determination image according to a feature amount of the object to be detected preliminarily learned by the use of a learning image, the object detection apparatus including a detector 2 causing strong classifiers 21m to operate in order of lower classification accuracy, continuing processing when the strong classifier 21m has determined that the object to be detected is captured in the determination image, and determining that the object to be detected has not been detected without causing the strong classifier 21m having classification accuracy higher than the aforementioned strong classifier 21m to operate, when the strong classifier 21m has determined that the object to be detected is not captured in the determination image, wherein the strong classifier 21m inputs a classification result of the strong classifier 21m having classification accuracy lower than the aforementioned strong classifier 21m and determines whether the object to be detected is captured or not in the determination image according to the plurality of estimation values and the input classification result.

摘要翻译： 一种物体检测装置，其根据通过使用学习图像预先学习的待检测对象的特征量，在确定图像中检测出被检测物体，所述物体检测装置包括：检测器2，其使强分类器21m〜 以分类精度较低的顺序进行操作，强分类器21m已确定要在被检测对象被捕获在确定图像中，并且确定未检测到被检测对象尚未被检测到，而不会导致具有分类的强分类器21m 当强分类器21m已经确定被检测对象未被捕获在确定图像中时，强分类器21m输入分类精度较低的强分类器21m的分类结果， 比上述强分类器21m a d根据多个估计值和输入分类结果确定在确定图像中是否捕获要检测的对象。