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公开(公告)号：US11927540B2
公开(公告)日：2024-03-12
申请号：US17683147
申请日：2022-02-28
Applicant: CANON KABUSHIKI KAISHA
Inventor： Shoichi Hoshino , Masakazu Matsugu , Yusuke Mitarai , Atsushi Nogami
CPC classification number: G01N21/8851 , G01N21/8803 , G06F3/013 , G06T7/0004 , G01N2021/8864 , G01N2021/888 , G06T2207/30108
Abstract: An apparatus according to the present disclosure acquires a display condition for displaying at least a part of target data as a display image on a display device, determines, in a case where the display image is changed, whether to store the display condition according to a changed display image in a storage device, based on an index relating to the change of the display image, and stores, in a case where the display condition is determined to be stored, the display condition according to the changed display image in the storage device.
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公开(公告)号：US11836961B2
公开(公告)日：2023-12-05
申请号：US17200573
申请日：2021-03-12
Applicant: CANON KABUSHIKI KAISHA
Inventor： Shoichi Hoshino , Atsushi Nogami , Yusuke Mitarai
IPC: G06V10/30 , G06V10/42 , G06V10/764 , G06F18/21 , G06V10/82
CPC classification number: G06V10/30 , G06F18/2163 , G06V10/431 , G06V10/764 , G06V10/82
Abstract: An information processing apparatus includes a map creation unit configured to create a defocus map corresponding to a captured image of a subject, an object setting unit configured to set a recognition target, and a determination unit configured to determine, based on the defocus map, whether the recognition target is recognizable in the image.
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公开(公告)号：US11783571B2
公开(公告)日：2023-10-10
申请号：US17462667
申请日：2021-08-31
Applicant: CANON KABUSHIKI KAISHA
Inventor： Shoichi Hoshino , Masakazu Matsugu , Yusuke Mitarai , Atsushi Nogami
IPC: G06V10/82 , G06T7/00 , G06F3/04845 , G06V10/764 , G06V10/40 , G06F3/04817
CPC classification number: G06V10/82 , G06F3/04845 , G06T7/0002 , G06V10/40 , G06V10/764 , G06F3/04817 , G06F2203/04806
Abstract: Some embodiments are directed to, by a simple operation, appropriately displaying an image to which attention is paid. An information processing apparatus according to some embodiments is an information processing apparatus for performing display for measuring a width of a region in an image of an inspection target object, the information processing apparatus including an acquisition unit configured to acquire a bending position where a bend of a line approximating the region from the image satisfies a predetermined condition, and a display control unit configured to display, in an aligned manner in a predetermined direction, a plurality of partial images obtained by dividing the image based on the bending position.
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公开(公告)号：US11282185B2
公开(公告)日：2022-03-22
申请号：US16682460
申请日：2019-11-13
Applicant: CANON KABUSHIKI KAISHA
Inventor： Atsushi Nogami , Yusuke Mitarai
Abstract: There is provided with an information processing device. A defect detecting unit detects a defect of an object in an input image. An extracting unit extracts a feature amount pertaining to a partial image of the defect from the input image, on the basis of a result of detecting the defect. An attribute determining unit determines an attribute of the defect using the feature amount pertaining to the partial image of the defect.
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公开(公告)号：US11105749B2
公开(公告)日：2021-08-31
申请号：US16240352
申请日：2019-01-04
Applicant: CANON KABUSHIKI KAISHA
Inventor： Atsushi Nogami , Mamoru Yoshimoto , Nobuaki Kuwabara , Yusuke Mitarai , Yasuhiro Komori , Masakazu Matsugu
Abstract: It is an object of the present invention to provide a user interface which facilitates confirmation of an area in an image and associated data corresponding to the area without requiring user's complicated operations. To achieve the object, an information processing apparatus comprises: an obtaining unit configured to obtain a first image including a plurality of objects, and information related to respective positions of the plurality of objects in the first image; and a determining unit configured to determine a position in case of shifting and displaying a second image indicating the plurality of objects with respect to the first image, based on the obtained positions of the plurality of objects.
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公开(公告)号：US10902285B2
公开(公告)日：2021-01-26
申请号：US14705559
申请日：2015-05-06
Applicant: CANON KABUSHIKI KAISHA
Inventor： Hiroto Yoshii , Masakazu Matsugu , Yusuke Mitarai
IPC: G06K9/62
Abstract: A method for information processing includes a learning process to generate a tree structured dictionary based on a plurality of patterns including a target object to be recognized. The method includes selecting a plurality of points from an input pattern based on a distribution of a probability that the target object to be recognized is present in the input pattern at each node of a tree structure generated in the learning process, and classifying the input pattern into a branch based on a value of a predetermined function that corresponds to values of the input pattern at selected plurality of points.
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公开(公告)号：US20190385016A1
公开(公告)日：2019-12-19
申请号：US16435002
申请日：2019-06-07
Applicant: CANON KABUSHIKI KAISHA
Inventor： Tomotaka Fujimori , Yusuke Mitarai , Masafumi Takimoto
Abstract: An image processing device includes: a determination unit configured to determine, based on a feature amount of input image data, a category of the input image data and a score representing confidence of the category, with a classification model; a display unit configured to display an image representing the input image data and the determined category of the input image data; an acceptance unit configured to accept a correction of the displayed category from a user; and an updating unit configured to update the classification model, based on the correction of the category.
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公开(公告)号：US10311559B2
公开(公告)日：2019-06-04
申请号：US15528072
申请日：2015-12-03
Applicant: CANON KABUSHIKI KAISHA
Inventor： Masafumi Takimoto , Yusuke Mitarai , Katsuhiko Mori , Tomotaka Fujimori
Abstract: To present a determination result with respect to input data and also a reason of the determination result to a user, an extraction unit configured to extract a plurality of feature amounts from an image including an inspection target object, a determination unit configured to determine an anomaly degree of the inspection target object on the basis of the extracted feature amounts, and an image generation unit configured to generate a defect display image representing a defect included in the inspection target object on the basis of contribution degrees of the respective feature amounts with respect to the determined anomaly degree are provided.
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公开(公告)号：US20180144447A1
公开(公告)日：2018-05-24
申请号：US15816678
申请日：2017-11-17
Applicant: CANON KABUSHIKI KAISHA
Inventor： Shunta Tate , Masakazu Matsugu , Yasuhiro Komori , Yusuke Mitarai
CPC classification number: G06T5/003 , G06T5/001 , G06T5/50 , G06T15/205 , G06T2207/10024 , G06T2207/10028 , G06T2207/10048 , G06T2207/20081 , G06T2207/20084 , G06T2207/20216
Abstract: An image processing apparatus includes: an acquisition unit configured to acquire a plurality of images each capturing an identical target and having a different attribute; a derivation unit configured to derive features from the plurality of images, using a first neural network; an integration unit configured to integrate the features derived from the plurality of images; and a generation unit configured to generate a higher quality image than the plurality of images from the feature integrated by the integration unit, using a second neural network.
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公开(公告)号：US11544628B2
公开(公告)日：2023-01-03
申请号：US15618677
申请日：2017-06-09
Applicant: CANON KABUSHIKI KAISHA
Inventor： Yusuke Mitarai
IPC: G06N20/10 , G06N20/00 , G06F16/903
Abstract: On the basis of a difference between first distribution regarding target task learning data as a plurality of learning data which belongs to a first category of a first task as a target task and second distribution regarding a plurality of learning data which belongs to the first category of source task learning data as learning data which belongs to the first category of a second task different from the first task, a transformation parameter for transforming the source task learning data is adjusted, the source task learning data is transformed based on the adjusted transformation parameter, and a classifier regarding the first task is generated based on the transformed source task learning data and the target task learning data.
