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公开(公告)号：US11304044B2
公开(公告)日：2022-04-12
申请号：US16993990
申请日：2020-08-14
Inventor： Jae-Ho Lee , Do-Hyung Kim , Jin-Kyeong Kim , Cheol Ryu , Hyung-Seok Lee
Abstract: Disclosed herein are a Bluetooth connection device and method based on estimation of a relative angle. The Bluetooth connection method based on estimation of a relative angle is performed by a Bluetooth connection device based on estimation of a relative angle, and includes estimating relative angles using relative angle estimation information included in packets received from one or more communication target devices that are scanned for a Bluetooth connection, determining a communication target device with which a communication link is to be established based on the estimated relative angles, and establishing a communication link through a Bluetooth connection to the determined communication target device, and reestablishing the communication link to any one of additional communication target devices, relative angles of which have been estimated, depending on a change in a relative angle to the communication target device with which the communication link has been established.
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公开(公告)号：US08965068B2
公开(公告)日：2015-02-24
申请号：US14016740
申请日：2013-09-03
Inventor： Ho sub Yoon , Chan Kyu Park , Kye Kyung Kim , Do-Hyung Kim , Jae Hong Kim
CPC classification number: A61B5/1176 , G06K9/00221 , G06K9/00906
Abstract: An apparatus for discriminating a disguised face includes a face area detector configured to detect a face area in an input image provided from an external source. The apparatus includes a skin color modeling module configured to separate a skin color area from the face area and a disguised face discriminator configured to determine whether signals in the skin color area have a pulse component to discriminate whether a face in the input image is the disguised face.
Abstract translation: 用于鉴别伪装脸部的装置包括：面部区域检测器，被配置为检测从外部源提供的输入图像中的面部区域。 该装置包括：皮肤颜色建模模块，被配置为从皮肤区域分离皮肤颜色区域;以及伪装的面部鉴别器，被配置为确定皮肤颜色区域中的信号是否具有脉冲分量，以区分输入图像中的脸部是否是伪装的 面对。
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公开(公告)号：US11405547B2
公开(公告)日：2022-08-02
申请号：US16723759
申请日：2019-12-20
Inventor： Seong-Jin Park , Do-Hyung Kim , Jae-Woo Kim , Seong-Jun Bae , Ho-Wook Jang
Abstract: Disclosed herein is a method for operating an apparatus for generating an all-in-focus image. The method may include generating a focus-map-calculating model through deep learning for images having different focuses and a reference all-in-focus image corresponding thereto, calculating a focus map for each of multi-focus images, which are captured by a camera, using the focus-map-calculating model, and generating an all-in-focus image for the multi-focus images using the focus map.
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公开(公告)号：US11113988B2
公开(公告)日：2021-09-07
申请号：US16918659
申请日：2020-07-01
Inventor： Do-Hyung Kim , Min-Su Jang , Jae-Hong Kim , Young-Woo Yoon , Jae-Il Cho
Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.
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公开(公告)号：US10748444B2
公开(公告)日：2020-08-18
申请号：US15450337
申请日：2017-03-06
Inventor： Do-Hyung Kim , Min-Su Jang , Jae-Hong Kim , Young-Woo Yoon , Jae-Il Cho
Abstract: Disclosed herein are an apparatus for writing a motion script and an apparatus and method for self-teaching of a motion. The method for self-teaching of a motion, in which the apparatus for writing a motion script and the apparatus for self-teaching of a motion are used, includes creating, by the apparatus for writing a motion script, a motion script based on expert motion of a first user; analyzing, by the apparatus for self-teaching of a motion, a motion of a second user, who learns the expert motion, based on the motion script; and outputting, by the apparatus for self-teaching of a motion, a result of analysis of the motion of the second user.
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Patent Agency Ranking
公开(公告)号：US09311689B2
公开(公告)日：2016-04-12
申请号：US14317238
申请日：2014-06-27
Inventor： Seong-Jin Park , Bon-Ki Koo , Jin-Sung Choi , Do-Hyung Kim , Il-Kyu Park
CPC classification number: G06T3/0068 , G06T7/344 , G06T2207/10028 , G06T2207/20212 , G06T2207/30036
Abstract: An apparatus includes: an input/output interface configured to have a reference surface model and a floating surface model inputted thereto; a memory having instructions for registration of the reference surface model and the floating surface model stored therein; and a processor configured for registration of the reference surface model and the floating surface model according to the instructions. The instructions perform: selecting initial transformation parameters corresponding to the floating surface model by comparing depth images of the reference surface model and the floating surface model; transforming the floating surface model according to the initial transformation parameters; calculating compensation transformation parameters through a matrix calculated by applying singular value decomposition to a cross covariance matrix between the reference surface model and the floating surface model; and transforming the floating surface model according to the compensation transformation parameters, and executing registration of the reference surface model and the floating surface model.
Abstract translation: 一种装置包括：输入/输出接口，被配置为具有输入到其的参考表面模型和浮动表面模型; 存储器，其具有用于登记参考表面模型和存储在其中的浮动表面模型的指令; 以及处理器，其被配置为根据所述指令注册所述参考表面模型和所述浮动表面模型。 指令执行：通过比较参考表面模型和浮动表面模型的深度图像来选择与浮动表面模型对应的初始变换参数; 根据初始变换参数变换浮动表面模型; 通过将参考表面模型和浮动表面模型之间的交叉协方差矩阵应用奇异值分解计算出的矩阵来计算补偿变换参数; 并根据补偿变换参数变换浮动表面模型，并执行参考表面模型和浮动表面模型的注册。
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公开(公告)号：US11983248B2
公开(公告)日：2024-05-14
申请号：US17496588
申请日：2021-10-07
Inventor： Chan-Kyu Park , Do-Hyung Kim , Jae-Hong Kim , Jae-Yeon Lee , Min-Su Jang
IPC: G06F18/2431 , G06F18/20 , G06F18/214 , G06F18/25 , G06N3/08 , G06T3/4046 , G06T7/11 , G06V10/44 , G06V10/94 , G06V40/10
CPC classification number: G06F18/2431 , G06F18/214 , G06F18/254 , G06F18/285 , G06N3/08 , G06T3/4046 , G06T7/11 , G06V10/449 , G06V10/95 , G06V40/10 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196
Abstract: Disclosed herein are an apparatus and method for classifying clothing attributes based on deep learning. The apparatus includes memory for storing at least one program and a processor for executing the program, wherein the program includes a first classification unit for outputting a first classification result for one or more attributes of clothing worn by a person included in an input image, a mask generation unit for outputting a mask tensor in which multiple mask layers respectively corresponding to principal part regions obtained by segmenting a body of the person included in the input image are stacked, a second classification unit for outputting a second classification result for the one or more attributes of the clothing by applying the mask tensor, and a final classification unit for determining and outputting a final classification result for the input image based on the first classification result and the second classification result.
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公开(公告)号：US11691291B2
公开(公告)日：2023-07-04
申请号：US17105924
申请日：2020-11-27
Inventor： Woo-Ri Ko , Do-Hyung Kim , Jae-Hong Kim , Young-Woo Yoon , Jae-Yeon Lee , Min-Su Jang
CPC classification number: B25J11/001 , B25J9/161 , B25J9/163 , B25J9/1664 , B25J9/1669 , B25J9/1692 , B25J11/0005 , B25J13/003 , B25J9/1661 , G05B2219/40411
Abstract: Disclosed herein are an apparatus and method for generating robot interaction behavior. The method for generating robot interaction behavior includes generating co-speech gesture of a robot corresponding to utterance input of a user, generating a nonverbal behavior of the robot, that is a sequence of next joint positions of the robot, which are estimated from joint positions of the user and current joint positions of the robot based on a pre-trained neural network model for robot pose estimation, and generating a final behavior using at least one of the co-speech gesture and the nonverbal behavior.
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公开(公告)号：US11182872B2
公开(公告)日：2021-11-23
申请号：US16671628
申请日：2019-11-01
Inventor： Seong-Jun Bae , Do-Hyung Kim , Jae-Woo Kim , Seong-Jin Park , Ho-Wook Jang
IPC: G06T1/00 , G06T9/00 , G06T7/557 , H04N5/3745
Abstract: Disclosed herein is a method of operating a plenoptic data storage system. The method may include obtaining plenoptic image data from a plenoptic camera array, generating additional information pertaining to the plenoptic image data, performing compression-coding on the plenoptic image data, and storing the additional information and the compression-coded plenoptic image data in a storage device in accordance with a storage format.
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10.发明授权公开(公告)号：US10585495B2
公开(公告)日：2020-03-10
申请号：US15624206
申请日：2017-06-15
Inventor： Seok-Jin Yoon , Do-Hyung Kim , Cheol Ryu , Jae-Ho Lee , Hyung-Seok Lee , Hyun-Woo Cho , Kyung-Hee Lee
Abstract: Disclosed herein is an apparatus for controlling an embedded device, through which the embedded device may be controlled in a host computer in real time. The apparatus for controlling an embedded device includes a host computer connected with a monitor, a mouse, and a keyboard; an embedded device; and a connection module for connecting the host computer with the embedded device such that a first task window for controlling the host computer and a second task window for controlling the embedded device are displayed on the monitor.
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