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公开(公告)号：US20140355825A1
公开(公告)日：2014-12-04
申请号：US14289915
申请日：2014-05-29
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor： Won Jun KIM , Byung In YOO , Chang Kyu CHOI
CPC classification number: G06T7/75 , G06K9/00342 , G06K9/00369 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196
Abstract: A method and apparatus for estimating a pose that estimates a pose of a user using a depth image is provided, the method including, recognizing a pose of a user from a depth image, and tracking the pose of the user using a user model exclusively of one another to enhance precision of estimating the pose.
Abstract translation: 提供了一种用于估计使用深度图像估计用户的姿态的姿势的方法和装置，所述方法包括：从深度图像识别用户的姿态，以及使用仅使用用户模型的用户模型来跟踪用户姿态 相互提高估计姿势的精度。
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2.发明公开公开(公告)号：US20240195662A1
公开(公告)日：2024-06-13
申请号：US18584561
申请日：2024-02-22
Inventor： Kyeongyeon KIM , Won Jun KIM , Jin Hong KIM , Byong Hyo SHIM , Yong Jun AN
IPC: H04L25/02
CPC classification number: H04L25/0254
Abstract: A device and a method for channel estimation using a short/long-term memory network in a millimeter-wave (mmWave) communication system are provided. The channel estimation method includes the operations of inputting a received pilot signal of a time slot to a long short-term memory network, extracting a time-varying channel feature embedding vector by estimating a change state of a channel by using the received pilot signal of the time slot as an input in the long short-term memory network, estimating a parameter of a channel model by using the time-varying channel feature embedding vector as an input in a fully connected network, and estimating a channel for the received pilot signal of the time slot, using the parameter of the channel model.
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公开(公告)号：US20160350610A1
公开(公告)日：2016-12-01
申请号：US15234457
申请日：2016-08-11
Applicant: Samsung Electronics Co., Ltd.
Inventor： Byung In YOO , Won Jun KIM , Jae Joon HAN
Abstract: A user recognition method includes extracting a user feature of a current user from input data, estimating an identifier of the current user based on the extracted user feature, and generating the identifier of the current user in response to an absence of an identifier corresponding to the current user and controlling an updating of user data based on the generated identifier and the extracted user feature.
Abstract translation: 用户识别方法包括从输入数据提取当前用户的用户特征，基于所提取的用户特征估计当前用户的标识符，以及响应于不存在对应于所述用户特征的标识符，生成当前用户的标识符 基于生成的标识符和所提取的用户特征来控制用户数据的更新。
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4.发明申请METHOD OF GENERATING FEATURE VECTOR, GENERATING HISTOGRAM, AND LEARNING CLASSIFIER FOR RECOGNITION OF BEHAVIOR 有权产生特征向量，产生组织学习方法和学习识别行为的分类器公开(公告)号：US20150206026A1
公开(公告)日：2015-07-23
申请号：US14562948
申请日：2014-12-08
Applicant: Samsung Electronics Co., Ltd.
Inventor： Won Jun KIM , Byung In YOO , Jae Joon HAN
CPC classification number: G06K9/4642 , G06K9/00335 , G06K9/4604
Abstract: Example embodiments disclose a method of generating a feature vector, a method of generating a histogram, a learning unit classifier, a recognition apparatus, and a detection apparatus, in which a feature point is detected from an input image based on a dominant direction analysis of a gradient distribution, and a feature vector corresponding to the detected feature point is generated.
Abstract translation: 示例性实施例公开了一种生成特征向量的方法，生成直方图的方法，学习单元分类器，识别装置和检测装置，其中基于主导方向分析从输入图像检测特征点 生成与检测出的特征点对应的梯度分布和特征向量。
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