INFORMATION PROVISION SYSTEM, INFORMATION PROVISION METHOD, AND STORAGE MEDIUM

    公开(公告)号:US20210409396A1

    公开(公告)日:2021-12-30

    申请号:US17294795

    申请日:2018-11-21

    Abstract: Provided are a system, a method, and the like which contribute to more reliably and smoothly providing information relating to an authentication result to a person who has been subjected to authentication. An information provision system according to an embodiment of the present invention comprises: an authentication unit which authenticates an authentication subject, who is to be subjected to authentication, using a captured image of the authentication subject; a determination unit which, in accordance with information about the authentication subject or the conditions of the authentication subject, determines the transmission destination to which information relating to the authentication result is to be transmitted in order to notify the authentication subject of the authentication result; and a transmission unit which transmits the information to the determined transmission destination.

    MODEL GENERATION DEVICE, MODEL GENERATION METHOD, AND NON-TRANSITORY RECODING MEDIUM

    公开(公告)号:US20210174231A1

    公开(公告)日:2021-06-10

    申请号:US17263738

    申请日:2018-08-02

    Abstract: Disclosed is a model generation device capable of mitigating the risk of overlooking a phenomenon of interest in machine learning. The model generation device determines whether or not a label of a first data is similar to a label of a second data. The model generation device assigns the label of the second data to the first data when determining that the label of the first data is similar to the label of the second data based on a degree of similarity between observation information representing a state where the first data is observed and observation information representing a state where the second data is observed. The model generation device calculates model representing a relevance between data information containing the first data and the second data and label information containing the assigned label and the label of the second data.

    PARAMETER ESTIMATION APPARATUS, PARAMETER ESTIMATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20200097522A1

    公开(公告)日:2020-03-26

    申请号:US16607916

    申请日:2017-04-27

    Abstract: A parameter estimation apparatus 10 is an apparatus for calculating a threshold for separating a plurality of data points into outliers and inliers and estimating a parameter fitting the inliers. The parameter estimation apparatus 10 includes: a parameter estimation unit 13 configured to estimate the parameter by using the plurality of data points as input; a threshold setting unit 14 configured to calculate the threshold based on statistical information of residuals of the data points; and a convergence determination unit 15 configured to determine whether or not convergence of the estimation of the parameter is reached based on the estimated parameter and the calculated threshold, and to cause the parameter estimation unit 13 and the threshold setting unit 14 to each execute processing again if the convergence determination unit 15 determines that convergence is not reached.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20170293821A1

    公开(公告)日:2017-10-12

    申请号:US15511707

    申请日:2015-09-17

    Inventor: Takashi SHIBATA

    CPC classification number: G06K9/46 G06T7/00 G06T7/33 G06T7/50

    Abstract: An information processing device according to the present invention includes: a feature point sampling unit that generates, based on an initial value of a feature point used for registration of an object included in a target image to be processed, a feature point hypothesis that is a group of a plurality of the feature points in the target image; an image degradation unit that generates a degraded image that is a degraded image with degrading a reference image used for processing the target image, based on the feature point hypothesis and a degradation parameter for degrading an image; and a reliability calculation unit that calculates a reliability of the feature point hypothesis, based on the target image, the degraded image, and the feature point hypothesis.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM
    55.
    发明申请
    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM 有权
    信息处理设备,信息处理设备,信息处理方法和程序

    公开(公告)号:US20160071285A1

    公开(公告)日:2016-03-10

    申请号:US14845462

    申请日:2015-09-04

    Inventor: Takashi SHIBATA

    Abstract: An information processing device, apparatus, method and non-transitory computer-readable storage medium are disclosed. An information processing device may include a memory storing instructions, and at least one processor configured to process the instructions to generate a comparison image by transforming a reference image, associate the comparison image with a class variable representing an object included in the reference image, calculate a degree of difference between an input patch which is an image representing a sub-region of an input image and a comparison patch which is an image representing a sub-region of the comparison image, estimate a displacement vector between the input patch and the comparison patch, calculate a first degree of reliability corresponding to the displacement vector and the class variable on the basis of the displacement vector and the degree of difference, calculate a second degree of reliability for each comparison patch on the basis of the first degree of reliability, and identify the object is represented by the class variable associated with the comparison image including the comparison patch whose second degree of reliability is greater than a predetermined threshold value, as a recognition target.

    Abstract translation: 公开了一种信息处理设备,设备,方法和非暂时性计算机可读存储介质。 信息处理装置可以包括存储指令的存储器,以及至少一个处理器,被配置为通过变换参考图像来处理指令以生成比较图像,将比较图像与表示参考图像中包括的对象的类变量相关联,计算 作为表示输入图像的子区域的图像的输入贴片与作为表示比较图像的子区域的图像的比较贴片之间的差异程度,估计输入贴片和比较之间的位移矢量 基于位移矢量和差异度计算与位移矢量和类变量相对应的第一可靠度,基于第一可靠度计算每个比较片的第二可靠度, 并且识别对象由与比较图像相关联的类变量包括 将第二可靠度大于预定阈值的比较补丁作为识别目标。

    INFORMATION PROCESSING APPARATUS, SYSTEM, METHOD, AND MEDIUM STORING PROGRAM
    56.
    发明申请
    INFORMATION PROCESSING APPARATUS, SYSTEM, METHOD, AND MEDIUM STORING PROGRAM 有权
    信息处理设备,系统,方法和媒体存储程序

    公开(公告)号:US20150348248A1

    公开(公告)日:2015-12-03

    申请号:US14726841

    申请日:2015-06-01

    Inventor: Takashi SHIBATA

    Abstract: An information processing apparatus may include a memory storing instructions and at least one processor configured to process the instructions to receive an input image. The input image includes either a first image or a provisional image created by iteratively image processing the first image. The instructions further provide for the processor to calculate a local variation of a focused pixel in the input image based on a difference in pixel value between the focused pixel and a surrounding pixel of the focused pixel, to calculate a filter coefficient for suppressing a variation between neighboring pixels in the input image based on the local variation, to create a degraded image by degrading the input image, to calculate a reconfiguration error between the input image and the degraded image, and to create the provisional image based on the filter coefficient and the reconfiguration error.

    Abstract translation: 信息处理设备可以包括存储指令的存储器和被配置为处理指令以接收输入图像的至少一个处理器。 输入图像包括通过对第一图像进行迭代图像处理创建的第一图像或临时图像。 指令进一步提供处理器基于聚焦像素与聚焦像素的周围像素之间的像素值的差异来计算输入图像中的聚焦像素的局部变化,以计算滤波器系数以抑制 基于局部变化输入图像中的相邻像素,通过降级输入图像来创建劣化图像,以计算输入图像和退化图像之间的重新配置误差,并且基于滤波器系数和 重新配置错误。

    IMAGE PROCESSING SYSTEM, IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20220351497A1

    公开(公告)日:2022-11-03

    申请号:US17438632

    申请日:2019-03-22

    Abstract: A system includes: a sequential image string input unit configured to input a sequential image string having sequentiality; a reference image selection unit configured to select one or more images from the sequential image string as reference images; a variation calculation unit configured to select an adjacent reference image adjacent to the reference image from the sequential image string and calculate a variation between the reference image and the adjacent reference image; an image information regression unit configured to calculate class confidence by regression processing with the reference image as an input; a difference image information regression unit configured to calculate class confidence by regression processing with the variation as an input; a confidence integration unit configured to integrate class confidence calculated by the image information regression unit and class confidence calculated by the difference image information regression unit; and an output unit configured to output the integrated class confidence.

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