公开(公告)号：US20090060290A1

公开(公告)日：2009-03-05

申请号：US12191610

申请日：2008-08-14

申请人： Kohtaro SABE ,  Atsushi Okubo ,  Jun Yokono

发明人： Kohtaro SABE ,  Atsushi Okubo ,  Jun Yokono

IPC分类号： G06K9/00

CPC分类号： G06K9/00248

摘要： A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.

摘要翻译： 面部图像处理装置通过统计学习选择特征点和特征来识别人。 该装置包括用于输入由任意面部检测装置检测到的面部图像的输入装置，用于从输入面部图像检测几个位置中的面部部分的位置的面部部位检测装置，基于检测位置估计面部姿势的面部姿势估计装置 特征点位置校正装置，用于根据面部姿势估计装置的面部姿势的估计结果校正用于识别人的每个特征点的位置，以及面部识别装置，用于通过计算特征来识别人物 通过特征点位置校正装置执行位置校正之后的每个特征点处的输入面部图像，并针对登记面部的特征检查特征。

公开(公告)号：US20080137917A1

公开(公告)日：2008-06-12

申请号：US11951437

申请日：2007-12-06

申请人： Atsushi OKUBO ,  Jun Yokono

发明人： Atsushi OKUBO ,  Jun Yokono

IPC分类号： G06K9/00

CPC分类号： G06K9/00268 ,  G06K9/6231 ,  G06K9/6234

摘要： The present invention provides an information processing apparatus including combination generating means for getting a first feature quantity of N dimensions, N being an integer of at least two, from first information prepared for execution of learning and use the first feature quantity of N dimensions to generate at least two of a first feature quantity combination that are not greater than N dimensions of the first feature quantity; and learning processing executing means for computing a correlation coefficient between the plurality of first feature quantity combinations generated by the combination generating means and a learning model feature quantity matching each dimension of the plurality of first feature quantity combinations and, by use of the first correlation coefficient, classify the first information, thereby executing learning processing for classifying predetermined second information.

摘要翻译： 本发明提供了一种信息处理装置，包括从用于执行学习的第一信息获得N维的第一特征量N，至少为2的整数的组合生成装置，并且使用N维的第一特征量来生成 不大于第一特征量的N维的第一特征量组合中的至少两个; 以及学习处理执行装置，用于计算由组合生成装置生成的多个第一特征量组合和与多个第一特征量组合中的每个维度相匹配的学习模型特征量之间的相关系数，并且通过使用第一相关系数 对第一信息进行分类，从而执行用于对预定的第二信息进行分类的学习处理。

公开(公告)号：US08411906B2

公开(公告)日：2013-04-02

申请号：US11951437

申请日：2007-12-06

申请人： Atsushi Okubo ,  Jun Yokono

发明人： Atsushi Okubo ,  Jun Yokono

IPC分类号： G06K9/00

CPC分类号： G06K9/00268 ,  G06K9/6231 ,  G06K9/6234

摘要： The present invention provides an information processing apparatus including combination generating means for getting a first feature quantity of N dimensions, N being an integer of at least two, from first information prepared for execution of learning and use the first feature quantity of N dimensions to generate at least two of a first feature quantity combination that are not greater than N dimensions of the first feature quantity; and learning processing executing means for computing a correlation coefficient between the plurality of first feature quantity combinations generated by the combination generating means and a learning model feature quantity matching each dimension of the plurality of first feature quantity combinations and, by use of the first correlation coefficient, classify the first information, thereby executing learning processing for classifying predetermined second information.

摘要翻译： 本发明提供了一种信息处理装置，包括从用于执行学习的第一信息获得N维的第一特征量N，至少为2的整数的组合生成装置，并且使用N维的第一特征量来生成 不大于第一特征量的N维的第一特征量组合中的至少两个; 以及学习处理执行装置，用于计算由组合生成装置生成的多个第一特征量组合和与多个第一特征量组合中的每个维度相匹配的学习模型特征量之间的相关系数，并且通过使用第一相关系数 对第一信息进行分类，从而执行用于对预定的第二信息进行分类的学习处理。

公开(公告)号：US08811725B2

公开(公告)日：2014-08-19

申请号：US13237173

申请日：2011-09-20

申请人： Jun Yokono ,  Atsushi Okubo

发明人： Jun Yokono ,  Atsushi Okubo

IPC分类号： G06K9/62

CPC分类号： G06K9/00288 ,  G06K9/6257

摘要： Provided is a learning device including: an acquisition section that acquires a plurality of image pairs in which the same subjects appear and a plurality of image pairs in which different subjects appear; a setting section that sets feature points on one image and the other image of each image pair; a selection section that selects a plurality of prescribed feature points, which are set at the same positions of the one image and the other image, so as to thereby select a feature extraction filter for each prescribed feature point; an extraction section that extracts the features of the prescribed feature points of each of the one image and the other image by using the plurality of feature extraction filters; a calculation section that calculates a correlation between the features; and a learning section that learns a same-subject classifier on the basis of the correlation and label information.

摘要翻译： 提供一种学习装置，包括：获取部，其获取其中显示相同被摄体的多个图像对以及出现不同主题的多个图像对; 设置部分，其在一个图像上设置特征点，并且每个图像对的另一个图像; 选择部，其选择设置在所述一个图像和所述另一图像的相同位置的多个规定特征点，从而为每个规定的特征点选择特征提取滤波器; 提取部，其使用所述多个特征提取滤波器来提取所述一个图像和所述另一图像中的每一个的规定特征点的特征; 计算部分，其计算特征之间的相关性; 以及基于相关性和标签信息学习相同主题分类器的学习部分。

公开(公告)号：US08331616B2

公开(公告)日：2012-12-11

申请号：US12191610

申请日：2008-08-14

申请人： Kohtaro Sabe ,  Atsushi Okubo ,  Jun Yokono

发明人： Kohtaro Sabe ,  Atsushi Okubo ,  Jun Yokono

IPC分类号： G06K9/00

CPC分类号： G06K9/00248

摘要： A face image processing apparatus selects feature points and feature for identifying a person through statistical learning. The apparatus includes input means for inputting a face image detected by arbitrary face detection means, face parts detection means for detecting the positions of face parts in several locations from the input face image, face pose estimation means for estimating face pose based on the detected positions of face parts, feature point position correcting means for correcting the position of each feature point used for identifying the person based on the result of estimation of face pose by the face pose estimation means, and face identifying means for identifying the person by calculating a feature of the input face image at each feature point after position correction is performed by the feature point position correcting means and checking the feature against a feature of a registered face.

摘要翻译： 面部图像处理装置通过统计学习选择特征点和特征来识别人。 该装置包括用于输入由任意面部检测装置检测到的面部图像的输入装置，用于从输入面部图像检测几个位置中的面部部分的位置的面部部位检测装置，基于检测位置估计面部姿势的面部姿势估计装置 特征点位置校正装置，用于根据面部姿势估计装置的面部姿势的估计结果校正用于识别人的每个特征点的位置，以及面部识别装置，用于通过计算特征来识别人物 通过特征点位置校正装置执行位置校正之后的每个特征点处的输入面部图像，并针对登记面部的特征检查特征。

公开(公告)号：US20130142392A1

公开(公告)日：2013-06-06

申请号：US13756977

申请日：2013-02-01

申请人： Keisuke Yamaoka ,  Jun Yokono

发明人： Keisuke Yamaoka ,  Jun Yokono

IPC分类号： G06F3/01

CPC分类号： G06F3/017 ,  A63F13/40 ,  G06F3/005 ,  G06F3/011 ,  G06F3/0304 ,  G06K9/00342 ,  G06K9/00369 ,  H04N5/222 ,  H04N5/2224

摘要： An information processing device includes: an outline extraction unit extracting an outline of a subject from a picked-up image of the subject; a characteristic amount extraction unit extracting a characteristic amount, by extracting sample points from points making up the outline, for each of the sample points; an estimation unit estimating a posture of a high degree of matching as a posture of the subject by calculating a degree of the characteristic amount extracted in the characteristic amount extraction unit being matched with each of a plurality of characteristic amounts that are prepared in advance and represent predetermined postures different from each other; and a determination unit determining accuracy of estimation by the estimation unit using a matching cost when the estimation unit carries out the estimation.

摘要翻译： 一种信息处理装置，包括：轮廓提取单元，从被摄体的拍摄图像中提取被检体的轮廓; 特征量提取单元，对于每个采样点，通过从构成轮廓的点提取采样点来提取特征量; 估计单元，通过计算在特征量提取单元中提取的特征量的程度与预先准备的表示的多个特征量中的每一个相匹配来估计高度匹配的姿势作为对象的姿势 预定姿势彼此不同; 以及确定单元，当估计单元执行估计时，使用匹配成本确定估计单元的估计精度。

公开(公告)号：US08345976B2

公开(公告)日：2013-01-01

申请号：US12852096

申请日：2010-08-06

申请人： Su Wang ,  Shengyang Dai ,  Akira Nakamura ,  Takeshi Ohashi ,  Jun Yokono

发明人： Su Wang ,  Shengyang Dai ,  Akira Nakamura ,  Takeshi Ohashi ,  Jun Yokono

IPC分类号： G06K9/34

CPC分类号： G06K9/6256 ,  G06K9/0014 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/187 ,  G06T2207/30024

摘要： Methods and systems disclosed herein provide the capability to automatically process digital pathology images quickly and accurately. According to one embodiment, an digital pathology image segmentation task may be divided into at least two parts. An image segmentation task may be carried out utilizing both bottom-up analysis to capture local definition of features and top-down analysis to use global information to eliminate false positives. In some embodiments, an image segmentation task is carried out using a “pseudo-bootstrapping” iterative technique to produce superior segmentation results. In some embodiments, the superior segmentation results produced by the pseudo-bootstrapping method are used as input in a second segmentation task that uses a combination of bottom-up and top-down analysis.

摘要翻译： 本文公开的方法和系统提供了快速且准确地自动处理数字病理图像的能力。 根据一个实施例，数字病理图像分割任务可以被划分为至少两部分。 图像分割任务可以利用自下而上的分析来捕获特征的局部定义和自上而下的分析，以使用全局信息来消除假阳性。 在一些实施例中，使用伪自举迭代技术来执行图像分割任务以产生优异的分割结果。 在一些实施例中，通过伪自举方法产生的优越分割结果被用作使用自下而上和自顶向下分析的组合的第二分段任务中的输入。

公开(公告)号：US20120076428A1

公开(公告)日：2012-03-29

申请号：US13233351

申请日：2011-09-15

申请人： Jun Yokono ,  Takuya Narihira

发明人： Jun Yokono ,  Takuya Narihira

IPC分类号： G06K9/68

CPC分类号： G06K9/00382 ,  G06K9/00389

摘要： An information processing device includes: a recognizer configured to recognize a predetermined part of a body of a person from an input image including the person; an evaluator configured to evaluate a difference between a recognized input part and a reference part serving as a basis; and a notifying unit configured to notify information relating to the difference of the input part from the reference part based on an evaluation result.

摘要翻译： 信息处理设备包括：识别器，被配置为从包括人的输入图像识别人的身体的预定部分; 评估器，被配置为评估识别的输入部分和用作基准的参考部分之间的差异; 以及通知单元，其被配置为基于评估结果来通知与所述参考部分的所述输入部分的差异有关的信息。

公开(公告)号：US09202281B2

公开(公告)日：2015-12-01

申请号：US13423209

申请日：2012-03-17

申请人： Su Wang ,  Shengyang Dai ,  Xun Xu ,  Akira Nakamura ,  Takeshi Ohashi ,  Jun Yokono

发明人： Su Wang ,  Shengyang Dai ,  Xun Xu ,  Akira Nakamura ,  Takeshi Ohashi ,  Jun Yokono

IPC分类号： G06K9/00 ,  G06T7/00

CPC分类号： G06T7/0081 ,  G06K9/00 ,  G06T7/11 ,  G06T7/143 ,  G06T7/162 ,  G06T7/194 ,  G06T2207/20081

摘要： An integrated interactive segmentation with spatial constraint method utilizes a combination of several of the most popular online learning algorithms into one and implements a spatial constraint which defines a valid mask local to the user's given marks. Additionally, both supervised learning and statistical analysis are integrated, which are able to compensate each other. Once prediction and activation are obtained, pixel-wised multiplication is conducted to fully indicate how likely each pixel belongs to the foreground or background.

摘要翻译： 具有空间约束方法的集成交互式分割将几种最流行的在线学习算法的组合应用于一种，并实现了定义用户给定标记本地的有效掩码的空间约束。 此外，监督学习和统计分析都是综合的，可以相互补偿。 一旦获得了预测和激活，就进行像素增益乘法以完全指示每个像素属于前景或背景的可能性。

公开(公告)号：US08849017B2

公开(公告)日：2014-09-30

申请号：US13427199

申请日：2012-03-22

申请人： Masato Ito ,  Kohtaro Sabe ,  Jun Yokono

发明人： Masato Ito ,  Kohtaro Sabe ,  Jun Yokono

IPC分类号： G06K9/62 ,  G06T7/00

CPC分类号： G06T7/0042 ,  G06T7/12 ,  G06T7/174 ,  G06T7/194 ,  G06T7/73 ,  G06T2207/20081 ,  G06T2207/20164

摘要： An image processing apparatus includes: an image feature outputting unit that outputs each of image features in correspondence with a time of the frame; a foreground estimating unit that estimates a foreground image at a time s by executing a view transform as a geometric transform on a foreground view model and outputs an estimated foreground view; a background estimating unit that estimates a background image at the time s by executing a view transform as a geometric transform on a background view model and outputs an estimated background view; a synthesized view generating unit that generates a synthesized view by synthesizing the estimated foreground and background views; a foreground learning unit that learns the foreground view model based on an evaluation value; and a background learning unit that learns the background view model based on the evaluation value by updating the parameter of the foreground view model.

摘要翻译： 一种图像处理装置包括：图像特征输出单元，其与帧的时间相对应地输出每个图像特征; 前景估计单元，其通过在前景视图模型上执行视角变换作为几何变换来估计时间s的前景图像，并输出估计的前景视图; 背景估计单元，其通过在背景视图模型上执行视图变换作为几何变换来估计在时间s的背景图像，并输出估计的背景视图; 合成视图生成单元，其通过合成估计的前景和背景视图来生成合成视图; 前景学习单元，其基于评估值学习前景视图模型; 以及背景学习单元，通过更新前景视图模型的参数，基于评估值来学习背景视图模型。