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公开(公告)号：US11676407B2
公开(公告)日：2023-06-13
申请号：US17104404
申请日：2020-11-25
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Junghyun Cho , Hyunwoo Cho , Haesol Park , Ig Jae Kim
IPC: G06K9/00 , G06V20/70 , G06T7/11 , G06T7/13 , G06T11/00 , G06F16/953 , G06V10/40 , G06F18/24 , G06F18/214
CPC classification number: G06V20/70 , G06F16/953 , G06F18/214 , G06F18/24 , G06T7/11 , G06T7/13 , G06T11/001 , G06V10/40 , G06T2207/10116 , G06T2207/20081 , G06T2207/20221
Abstract: Disclosed are an X-RAY image reading support method including the steps of acquiring a target X-RAY image photographed by transmitting or reflecting X-RAY in a reading space in which an object to be read is disposed; applying the target X-RAY image to a reading model that extracts features from an input image; and identifying the object to be read as an object corresponding to a classified class when the object to be read is classified as a set class based on a first feature set extracted from the target X-RAY image, and an X-RAY image reading support system performing the method.
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公开(公告)号：US10565691B2
公开(公告)日：2020-02-18
申请号：US15630688
申请日：2017-06-22
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Byeongjoo Ahn , Ig Jae Kim , Junghyun Cho
IPC: G06T5/00 , G06T5/50 , H04N13/122 , G06T7/579 , H04N13/111 , H04N13/243 , H04N13/00
Abstract: A method of multi-view deblurring for 3-dimensional (3D) shape reconstruction includes: receiving images captured by multiple synchronized cameras at multiple viewpoints; performing iteratively estimation of depth map, latent image, and 3D motion at each viewpoint for the received images; determining whether image deblurring at each viewpoint is completed; and performing 3D reconstruction based on final depth maps and latent images at each viewpoint. Accordingly, it is possible to achieve accurate deblurring and 3D reconstruction even from any motion blurred images.
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公开(公告)号：US09978119B2
公开(公告)日：2018-05-22
申请号：US15069095
申请日：2016-03-14
Applicant: Korea Institute of Science and Technology
Inventor： Ig Jae Kim , Heeseung Choi , Sungyeon Park , Junghyun Cho
CPC classification number: G06T3/0093 , G06K9/00281 , G06K9/00302 , G06T11/00 , G06T15/00 , H04N7/147 , H04N7/157
Abstract: A method for automatic facial impression transformation includes extracting landmark points for elements of a target face whose facial impression is to be transformed as well as distance vectors respectively representing distances of the landmark points, comparing the distance vectors to select a learning data set similar to the target face from a database, extracting landmark points and distance vectors from the learning data set, transforming a local feature of the target face based on the landmark points of the learning data set and score data for a facial impression, and transforming a global feature of the target face based on the distance vectors of the learning data set and the score data for the facial impression. Accordingly, a facial impression may be transformed in various ways while keeping an identity of a corresponding person.
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公开(公告)号：US09811716B2
公开(公告)日：2017-11-07
申请号：US14941812
申请日：2015-11-16
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , Hee Seung Choi , Junghyun Cho
IPC: G06K9/00
CPC classification number: G06K9/00228 , G06K9/00208 , G06K9/00268 , G06K9/00302
Abstract: A method for face recognition through facial expression normalization includes: fitting an input two-dimensional face image into a three-dimensional face model by using a three-dimensional face database; normalizing the three-dimensional face model into a neutral-expression three-dimensional face model by using a neutral-expression parameter learned from the three-dimensional face database; converting the neutral-expression three-dimensional face model into a neutral-expression two-dimensional face image; and recognizing the neutral-expression two-dimensional face image from a two-dimensional face database. Accordingly, face recognition may be performed with high reliability without a loss of information.
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5.发明授权公开(公告)号：US11734831B2
公开(公告)日：2023-08-22
申请号：US17102537
申请日：2020-11-24
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Junghyun Cho , Ig Jae Kim , Hyunwoo Cho , Haesol Park
CPC classification number: G06T7/168 , G06T7/32 , G06T2207/10116 , G06T2207/20021 , G06T2207/20081 , G06T2207/20084
Abstract: Embodiments relate to a method for supporting X-ray image reading including receiving information associated with a reading target positioned in a reading space where X-rays pass through or are reflected off, acquiring a non X-RAY image of an item object based on the information associated with the reading target, and generating a fake X-RAY image of the item object by applying the non X-RAY image of the item object to the image transform model, and a system for performing the same.
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Patent Agency Ranking
公开(公告)号：US12019724B2
公开(公告)日：2024-06-25
申请号：US17535575
申请日：2021-11-25
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , Gi Pyo Nam , Haesol Park , Junghyun Cho , Je Hyeong Hong
CPC classification number: G06F21/32 , G06V40/168 , G06V40/172
Abstract: Embodiments relate to a user authentication device configured to detect a face region in a target object image including at least part of a face of a target object, recognize masked or unmasked in the face region, extract target object characteristics data from the face region of the target object image, call reference data and authenticate if the target object is a registered device user based on the called reference data and the target object characteristics data. The reference data is generated from an unmasked image of the registered device user.
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公开(公告)号：US11558197B2
公开(公告)日：2023-01-17
申请号：US16845362
申请日：2020-04-10
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , Gi Pyo Nam , Junghyun Cho , Heeseung Choi
IPC: H04L9/32 , G06F21/32 , G06F3/0488 , G06T7/73 , H04M1/72484 , G06V40/60 , G06V40/16
Abstract: Exemplary embodiments relate to a method for unlocking a mobile device using authentication based on ear recognition including obtaining an image of a target showing at least part of the target's body in a lock state, extracting a set of ear features of the target from the image of the target, when the image of the target includes at least part of the target's ear, and determining if the extracted set of ear features of the target satisfies a preset condition, and a mobile device performing the same.
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公开(公告)号：US10559062B2
公开(公告)日：2020-02-11
申请号：US15985173
申请日：2018-05-21
Applicant: Korea Institute of Science and Technology
Inventor： Ig Jae Kim , Heeseung Choi , Sungyeon Park , Junghyun Cho
Abstract: A method for automatic facial impression transformation includes extracting landmark points for elements of a target face whose facial impression is to be transformed as well as distance vectors respectively representing distances of the landmark points, comparing the distance vectors to select a learning data set similar to the target face from a database, extracting landmark points and distance vectors from the learning data set, transforming a local feature of the target face based on the landmark points of the learning data set and score data for a facial impression, and transforming a global feature of the target face based on the distance vectors of the learning data set and the score data for the facial impression. Accordingly, a facial impression may be transformed in various ways while keeping an identity of a corresponding person.
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公开(公告)号：US10013741B2
公开(公告)日：2018-07-03
申请号：US15191040
申请日：2016-06-23
Applicant: Korea Institute of Science and Technology
Inventor： Byeongjoo Ahn , Ig Jae Kim , Junghyun Cho
CPC classification number: G06T5/003 , G06T2207/10016 , G06T2207/20201
Abstract: A video deblurring method based on a layered blur model includes estimating a latent image, an object motion and a mask for each layer in each frame using images consisting of a combination of layers during an exposure time of a camera when receiving a blurred video frame, applying the estimated latent image, object motion and mask for each layer in each frame to the layered blur model to generate a blurry frame, comparing the generated blurry frame and the received blurred video frame, and outputting a final latent image based on the estimated object motion and mask for each layer in each frame, when the generated blurry frame and the received blurred video frame match. Accordingly, by modeling a blurred image as an overlap of images consisting of a combination of foreground and background during exposure, more accurate deblurring results at object boundaries can be obtained.
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公开(公告)号：US09633044B2
公开(公告)日：2017-04-25
申请号：US14310036
申请日：2014-06-20
Applicant: Korea Institute of Science and Technology
Inventor： Ig Jae Kim , Hee Seung Choi , Jaewon Kim , Junghyun Cho , Young-ju Choi
CPC classification number: G06F17/30247 , G06K9/00288 , G06K9/6255
Abstract: Provided is an image recognition apparatus that identifies a person through a face of the person recognized from a photographed image, an image recognition method thereof and a face image generation method thereof.The method for recognizing a face image includes generating candidate images including at least one morphable image which is generated using an object image, extracting first features from the generated candidate images, extracting second feature from a reference image, and generating at least one score corresponding to each of the at least one morphable image by comparing the first features with the second feature, and performing matching to calculate a final score from the generated at least one score.
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