-
公开(公告)号：US20220392262A1
公开(公告)日：2022-12-08
申请号：US17680485
申请日：2022-02-25
Applicant: NEC Corporation
Inventor： Takashi SHIBATA , Shoji Yachida , Chisato Funayama , Masato Tsukada , Yuka Ogino , Keiichi Chono , Emi Kitagawa , Yasuhiko Yoshida , Yusuke Mori
Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.
-
公开(公告)号：US20220189132A1
公开(公告)日：2022-06-16
申请号：US17439898
申请日：2019-03-26
Applicant: NEC Corporation
Inventor： Masato TSUKADA , Hiroshi IMAI , Chisato FUNAYAMA , Yuka OGINO , Ryuichi AKASHI , Keiichi CHONO , Emi INUI , Yasuhiko YOSHIDA , Hiroshi YAMADA , Shoji YACHIDA , Takashi SHIBATA
Abstract: An image acquisition unit (2) acquires an image obtained by capturing at least eyes of a target person. An object specifying unit (4) specifies an object in a line-of-sight direction of the target person using the acquired image. An incident light amount calculation unit (6) calculates an incident light amount representing an amount of light incident on the eyes of the target person using the acquired image. A reference pupil size determination unit (8) determines a reference pupil size based on the calculated incident light amount. A pupil size calculation unit (10) calculates a pupil size of the target person using the acquired image. An interest determination unit (12) determines an interest of the target person in the object by comparing the determined reference pupil size with the calculated pupil size.
-
公开(公告)号：US20220180662A1
公开(公告)日：2022-06-09
申请号：US17680786
申请日：2022-02-25
Applicant: NEC Corporation
Inventor： Takashi SHIBATA , Shoji Yachida , Chisato Funayama , Masato Tsukada , Yuka Ogino , Keiichi Chono , Emi Kitagawa , Yasuhiko Yoshida , Yusuke Mori
Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.
-
公开(公告)号：US20220180195A1
公开(公告)日：2022-06-09
申请号：US17598422
申请日：2019-06-25
Applicant: NEC Corporation
Inventor： Azusa SAWADA , Takashi SHIBATA
Abstract: The model generation device generates model parameters corresponding to the model to be used and mediation parameter relevance information indicating the relevance between the model parameters of a plurality of source domains and the mediation parameters by using the learning data in the plurality of source domains. The model adjustment device generates target model parameters which correspond to the target domain and include the mediation parameters, based on the learned model parameters for each of the plurality of source domains and the mediation parameter relevance information. Then, the model adjustment device uses the evaluation data of the target domain to determine the mediation parameters included in the target model parameters.
-
35.发明申请公开(公告)号：US20220128988A1
公开(公告)日：2022-04-28
申请号：US17431261
申请日：2019-02-19
Applicant: NEC Corporation
Inventor： Azusa SAWADA , Takashi SHIBATA , Katsuhiko TAKAHASHI
IPC: G05B23/02
Abstract: A data-series group includes data series which is a series of data obtained by observing the same object at discrete times. Time labels are time information added to respective data included in the data-series group. State labels are added to some of the data included in the data-series group. A loss-function control unit determines a loss function to be used for learning based on the time labels and the state labels. A threshold is used to adjust a branch condition of the loss-function control unit. A regressor is a model, and is used to detect an abnormality or predict a remaining life span. A dictionary stores parameters of the regressor. A regressor training unit trains the regressor based on the loss function determined by the loss-function control unit.
-
Patent Agency Ranking
公开(公告)号：US20220027647A1
公开(公告)日：2022-01-27
申请号：US17312094
申请日：2018-12-14
Applicant: NEC Corporation
Inventor： Masato TSUKADA , Chisato FUNAYAMA , Yuka OGINO , Hiroshi IMAI , Keiichi CHONO , Emi KITAGAWA , Yasuhiko YOSHIDA , Hiroshi YAMADA , Takashi SHIBATA , Shoji YACHIDA , Ryuichi AKASHI
Abstract: In order to determine whether a color contact lens is being worn on an iris, this image processing device includes: a first feature amount calculation means for using an image of the iris in a first wavelength band to calculate a first feature amount in the first wavelength band, said iris being used in authentication of a person; a second feature amount calculation means for using an image of the iris in a second wavelength band to calculate a second feature amount in the second wavelength band; and a covering determination means for determining, on the basis of the first feature amount and the second feature amount, whether a color contact lens is present on the iris.
-
公开(公告)号：US20220004802A1
公开(公告)日：2022-01-06
申请号：US17281717
申请日：2018-10-10
Applicant: NEC Corporation
Inventor： Takashi SHIBATA
Abstract: In order to ensure that similarity is detected with high accuracy, regardless of the types of images constituting a group of images to be evaluated for similarity, the image processing device includes difference calculation means 11 for deforming one of two or more images constituting an image group in one or more deforming ways, and calculating a degree of difference between the deformed image and the other image or images in the image group for each pixel using multiple ways for similarity evaluation, normalization means 12 for normalizing each degree of difference by each of the multiple ways for similarity evaluation, and difference integration means 15 for integrating normalized degrees of difference.
-
公开(公告)号：US20200334801A1
公开(公告)日：2020-10-22
申请号：US16769784
申请日：2017-12-06
Applicant: NEC Corporation
Inventor： Katsuhiko TAKAHASHI , Takashi SHIBATA
IPC: G06T7/00
Abstract: In the present invention, a first image acquisition means 81 acquires a first image of an inspection target including an abnormal part. A second image acquisition means 82 acquires a second image of the inspection target captured earlier than the time when the first image is captured. A learning data generation means 83 generates learning data indicating that the second image includes an abnormal part. A learning means 84 learns a discrimination dictionary by using the learning data generated by the learning data generation means 83.
-
公开(公告)号：US20200279400A1
公开(公告)日：2020-09-03
申请号：US16647696
申请日：2018-09-14
Applicant: NEC CORPORATION
Inventor： Takashi SHIBATA
Abstract: The disclosure is an information processing device including: a memory; and at least one processor coupled to the memory and performing operations. The operations includes: generating, based on a target image including a target and a standard image not including the target, a target structure image indicating a shape feature of an object included in the target image and a standard structure image indicating a shape feature of an object included in the standard image, in each of a plurality of imaging conditions; calculating an individual difference being a difference between the target structure image and the standard structure image, and a composite difference based on the individual differences; calculating an individual smoothness being a smoothness of the target structure image, and a composite smoothness based on the individual smoothness; and generating a silhouette image of the target, based on the composite difference and the composite smoothness.
-
40.发明申请公开(公告)号：US20180322672A1
公开(公告)日：2018-11-08
申请号：US15772239
申请日：2016-09-14
Applicant: NEC CORPORATION , TOKYO INSTITUTE OF TECHNOLOGY
Inventor： Takashi SHIBATA , Masayuki TANAKA , Masatoshi OKUTOMI
IPC: G06T11/60 , G11B27/031 , G11B27/28 , G06T5/50 , G06T5/00
CPC classification number: G06T11/60 , G06T5/001 , G06T5/007 , G06T5/50 , G06T2207/10024 , G11B27/031 , G11B27/28 , H04N1/40 , H04N1/409 , H04N1/58
Abstract: An image processing system in which, in order to easily analyze input images acquired by sensors, output image quality is improved so that is suitable for a user. It includes: a gradient calculation unit that calculates a desired gradient based on input images; an indication function calculation unit that calculates an indication function for the input images, the indication function defining a range that can be taken by an output image and pixel values of a reference image; a pixel value renewal unit that renews pixel values of one of the input images so as to approximate the desired gradient to produce a renewed image; and a pixel value constraint unit that updates pixel values of the renewed image so as to fall within the range that can be taken by the output image and to approximate the pixel values of the reference image, to thereby obtain the output image.
-
-
-
-
-
-
-
-
-
Search Results
72
records
(took 0.024 seconds)
