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1.发明授权公开(公告)号：US11954942B2
公开(公告)日：2024-04-09
申请号：US17565453
申请日：2021-12-30
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Junghyun Cho , Ig Jae Kim , Hochul Hwang
Abstract: Embodiments relate to a human behavior recognition system using hierarchical class learning considering safety, the human behavior recognition system including a behavior class definer configured to form a plurality of behavior classes by sub-setting a plurality of images each including a subject according to pre-designated behaviors and assign a behavior label to the plurality of images, a safety class definer configured to calculate a safety index for the plurality of images, form a plurality of safety classes by sub-setting the plurality of images based on the safety index, and additionally assign a safety label to the plurality of images, and a trainer configured to train a human recognition model by using the plurality of images defined as hierarchical classes by assigning the behavior label and the safety label as training images.
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2.发明授权公开(公告)号：US11579746B2
公开(公告)日：2023-02-14
申请号：US17564226
申请日：2021-12-29
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Junghyun Cho , Ig Jae Kim , Junyong Choi , Seok Yeong Lee
IPC: G06F3/04815 , G06T15/20
Abstract: Embodiments relate to a dynamic image capturing method and apparatus using an arbitrary viewpoint image generation technology, in which an image of background content displayed on a background content display unit or an image of background content implemented in a virtual space through a chroma key screen, having a view matching to a view of seeing a subject at a viewpoint of a camera is generated, and a final image including the image of the background content and a subject area is obtained.
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公开(公告)号：US09830523B2
公开(公告)日：2017-11-28
申请号：US13800272
申请日：2013-03-13
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Jaewon Kim , Ig Jae Kim , Seung Yeup Hyun , Se Yun Kim
CPC classification number: G06K9/3241 , G01S7/411 , G01S13/867 , G01S13/88
Abstract: Provided is a method and apparatus for recognizing material of objects by extracting physical properties of objects in a camera photo based on the combined analysis of information obtained by a camera and a radar unit.
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公开(公告)号：US11663801B2
公开(公告)日：2023-05-30
申请号：US17100943
申请日：2020-11-23
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , Heeseung Choi , Haksub Kim , Seungho Chae , Yoonsik Yang
IPC: G06V10/22 , G06F16/535 , G06F16/538 , G06F18/213 , G06V30/19 , G06V10/424
CPC classification number: G06V10/22 , G06F16/535 , G06F16/538 , G06F18/213 , G06V10/424 , G06V30/19
Abstract: Embodiments relate to a method for determining a search region including acquiring object information of a target object included in an image query, generating a set of non-image features of the target object based on the object information, setting a search candidate region based on a user input, acquiring information associated with the search candidate region from a region database, and determining a search region based on at least one of the information associated with the search candidate region or at least part of the set of non-image features, and a system for performing the same.
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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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Patent Agency Ranking
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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7.发明授权Three dimensional montage generation system and method based on two dimensional single image 有权基于二维单一图像的三维蒙太奇生成系统和方法公开(公告)号：US09519998B2
公开(公告)日：2016-12-13
申请号：US13790122
申请日：2013-03-08
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , Yu Jin Hong
CPC classification number: G06T17/00 , G06K9/00208 , G06K9/00221 , G06K9/6255
Abstract: The present disclosure relates to a three-dimensional montage generation system and method based on a two-dimensional single image. An embodiment of the present disclosure may generate a three-dimensional montage in an easy, fast and accurate way by using a two-dimensional front face image data, and estimate face portions, which cannot be restored by using a single photograph, in a statistic way by using a previously prepared face database. Accordingly, an embodiment of the present disclosure may generate a three-dimensional personal model from a single two-dimensional front face photograph, and depth information such as nose height, lip protrusion and eye contour may be effectively estimated by means of statistical distribution and correlation of data.
Abstract translation: 本公开涉及一种基于二维单一图像的三维蒙太奇生成系统和方法。 本公开的实施例可以通过使用二维前脸图像数据以简单，快速和准确的方式生成三维蒙太奇，并且在统计量中估计不能通过使用单张照片来恢复的面部部分 方式通过使用以前准备的面部数据库。 因此，本公开的实施例可以从单个二维正面照片生成三维个人模型，并且可以通过统计分布和相关性来有效地估计诸如鼻高，唇突起和眼睛轮廓的深度信息 数据的。
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公开(公告)号：US09348487B2
公开(公告)日：2016-05-24
申请号：US14073975
申请日：2013-11-07
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , A Rim Lee
IPC: G06F3/0481 , G06F3/0482 , G06N3/12 , G06K9/00 , G06N3/00 , H04N1/00 , G06F17/30
CPC classification number: G06F3/0482 , G06F3/0481 , G06F3/04817 , G06F17/30274 , G06K9/00308 , G06N3/006 , G06N3/126 , H04N1/00442
Abstract: One or more embodiments of the present invention relate to an apparatus and method for generating a cognitive avatar, and according to one or more of the above embodiments of the present invention, the process of allowing the user to select images, which are recognized as similar, from face images of various impressions which are classified as a plurality of impression groups and are stored, is repeatedly performed, and an avatar, which corresponds to the target face which the user intends to generate as the avatar, by a cognitive approach based on the repeatedly performed user's selection, so that a natural avatar, which is similar to the target face, may be expressed without a separate analysis or re-analysis process for the target face.
Abstract translation: 本发明的一个或多个实施例涉及一种用于产生认知头像的装置和方法，并且根据本发明的上述实施例中的一个或多个，允许用户选择被识别为类似的图像的过程 从被分类为多个印象组并被存储的各种印象的面部图像重复地执行，并且通过基于以下方式的认知方法，对应于用户想要生成的目标面部的化身： 重复执行用户的选择，使得与目标脸部类似的天赋化身可以在目标脸部没有单独的分析或重新分析过程的情况下被表达。
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公开(公告)号：US11967822B2
公开(公告)日：2024-04-23
申请号：US17489805
申请日：2021-09-30
Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY
Inventor： Ig Jae Kim , Heeseung Choi , Yeji Choi , Jisoo Kim
CPC classification number: H02J3/004 , G05B13/0265 , G05B13/048 , H02J2203/20
Abstract: Embodiments relate to a method for predicting power generation and remaining useful life to predict operational soundness of a power plant and a system for performing the same, the method including acquiring sensing data from each of a plurality of sensors included in a plurality of systems in the power plant, outputting each of a predicted power generation and a predicted remaining useful life from a measurement value in sensing data of an input sensor through a pre-trained prediction model, assessing the operational soundness in aspect of the power generation and the remaining useful life using a prediction result and a current result in each aspect, and determining the operational soundness of the system based on prediction uncertainty and an assessment result in aspect of the power generation and the remaining useful life.
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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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