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公开(公告)号：US20160234480A1
公开(公告)日：2016-08-11
申请号：US15000658
申请日：2016-01-19
Applicant: Samsung Electronics Co., Ltd.
Inventor： Jinho LEE , Tao HONG , Weiming LI , DongKyung NAM , Kang XUE , Xiying WANG , Zhihua LIU , Gengyu MA , Haitao WANG , Mingcai ZHOU
IPC: H04N13/04
CPC classification number: G02B27/22 , H04N5/21 , H04N13/305 , H04N13/317 , H04N13/327
Abstract: A method for reducing a moire fringe includes calculating a moire fringe width for each of different angles between a microlens array and pixels of a display screen. The method includes determining, to be a final inclination angle between the microlens array and the pixels of the display screen, one of the different inclination angles that corresponds to a minimum width among the calculated moire fringe widths.
Abstract translation: 一种减少莫尔条纹的方法包括为微透镜阵列和显示屏的像素之间的不同角度计算莫尔条纹宽度。 该方法包括确定微透镜阵列和显示屏幕的像素之间的最终倾斜角，其中的不同倾斜角之一对应于所计算的莫尔条纹宽度之间的最小宽度。
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公开(公告)号：US20160225154A1
公开(公告)日：2016-08-04
申请号：US15009154
申请日：2016-01-28
Applicant: Samsung Electronics Co., Ltd.
Inventor： Mingcai ZHOU , Jingu HEO , Tao HONG , Zhihua LIU , DongKyung NAM , Kang XUE , Weiming LI , Xiying WANG , Gengyu MA , Haitao WANG
CPC classification number: G06K9/66 , G06K9/00604 , G06K9/0061 , G06K9/00617 , G06K9/6269 , G06K2009/4666 , G06T5/005 , G06T7/73 , G06T7/75 , G06T2207/30041 , G06T2207/30201 , H04N13/371
Abstract: A method of determining eye position information includes identifying an eye area in a facial image; verifying a two-dimensional (2D) feature in the eye area; and performing a determination operation including, determining a three-dimensional (3D) target model based on the 2D feature; and determining 3D position information based on the 3D target model.
Abstract translation: 一种确定眼睛位置信息的方法包括识别面部图像中的眼睛区域; 验证眼睛区域中的二维（2D）特征; 以及执行确定操作，所述确定操作包括：基于所述2D特征确定三维（3D）目标模型; 以及基于所述3D目标模型确定3D位置信息。
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公开(公告)号：US20160189380A1
公开(公告)日：2016-06-30
申请号：US14935757
申请日：2015-11-09
Applicant: Samsung Electronics Co., Ltd.
Inventor： Weiming LI , Zhihua LIU , Xiying WANG , Yang Ho CHO , Kang XUE , Mingcai ZHOU , Tao HONG , Gengyu MA , Haitao WANG
CPC classification number: H04N13/128 , H04N13/122 , H04N13/183 , H04N2013/0081
Abstract: An image processing method and apparatus are provided. The image processing method may include determining whether stereoscopic objects that are included in an image pair and that correspond to each other are aligned on the same horizontal line. The method includes determining whether the image pair includes target objects having different geometric features from those of the stereoscopic objects if the stereoscopic objects are not aligned on the same horizontal line. The method includes performing image processing differently for the stereoscopic objects and for the target objects if the image pair includes the target objects.
Abstract translation: 提供了一种图像处理方法和装置。 图像处理方法可以包括确定包括在图像对中并且彼此对应的立体物体是否在同一水平线上对准。 该方法包括：如果立体对象不在同一水平线上对准，则确定图像对是否包括具有与立体物体的几何特征不同的几何特征的目标对象。 该方法包括如果图像对包括目标对象，则针对立体对象和目标对象执行不同的图像处理。
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公开(公告)号：US20220171959A1
公开(公告)日：2022-06-02
申请号：US17534831
申请日：2021-11-24
Applicant: Samsung Electronics Co., Ltd.
Inventor： Dongwoo KANG , Weiming LI , Bao HE , Qiang WANG , Sunghoon HONG , Lin MA
Abstract: A method with image processing includes: determining a feature map of an image; determining a spatial position weight of pixel points of the feature map; determining a corrected feature map by correcting the feature map based on the spatial position weight of the pixel points; and determining a key point based on the corrected feature map.
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公开(公告)号：US20220164565A1
公开(公告)日：2022-05-26
申请号：US17529634
申请日：2021-11-18
Applicant: Samsung Electronics Co., Ltd.
Inventor： Weiming LI , Jiyeon KIM , Qiang WANG , Hyun Sung CHANG , Sunghoon HONG , Chao ZHANG
Abstract: A method with object detection includes: obtaining a first point cloud feature based on point cloud data of an image; and determining at least one object in the image based on the first point cloud feature.
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Patent Agency Ranking
公开(公告)号：US20220101555A1
公开(公告)日：2022-03-31
申请号：US17476920
申请日：2021-09-16
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chao ZHANG , Jiyeon KIM , Yang LIU , Yueying KAO , Hao WANG , Hyun Sung CHANG , Qiang WANG , Sunghoon HONG , Weiming LI
Abstract: A method, an apparatus, an electronic device for estimating a pose of an object include determining a confidence of a depth image of an object based on a color image and the depth image of the object, estimating a pose of the object based on a three-dimensional (3D) keypoint in response to the depth image being reliable, and estimating the pose of the object based on a two-dimensional (2D) keypoint in response to the depth image being unreliable.
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公开(公告)号：US20210227192A1
公开(公告)日：2021-07-22
申请号：US16652601
申请日：2018-10-25
Applicant: Samsung Electronics Co., Ltd.
Inventor： Weiming LI , Wenbo ZHANG , Hao WANG , Yang LIU , Zairan WANG
IPC: H04N13/246 , G06T7/593 , G06K9/72 , G06K9/00 , G06K9/62 , H04N13/128 , H04N13/243
Abstract: The method of the present invention for processing a video comprises: acquiring a first and a second omnidirectional videos having a stereoscopic parallax in a first direction which is a corresponding column direction when the first and the second omnidirectional videos are unfolded by longitude and latitude; and, determining one or two third omnidirectional videos according to the first and the second omnidirectional videos, the second and the third omnidirectional videos having a stereoscopic parallax in a second direction, wherein, if one third omnidirectional video is determined, the second and the third omnidirectional videos have a stereoscopic parallax in the second direction; if two third omnidirectional videos are determined, the two third omnidirectional videos have a stereoscopic parallax in the second direction; and, the second direction is a corresponding row direction when the first and the second omnidirectional videos are unfolded by longitude and latitude.
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公开(公告)号：US20210217194A1
公开(公告)日：2021-07-15
申请号：US17146895
申请日：2021-01-12
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chao ZHANG , Weiming LI , Qiang WANG , Sunghoon HONG , Wooshik KIM
Abstract: An electronic device for estimating object information and generating a virtual object and a method of operating the electronic device are disclosed. The method includes obtaining an image, obtaining a class feature, a pose feature, and a relationship feature of an object included in the image, correcting each of the class feature, the pose feature, and the relationship feature using any combination of any two or more of the class feature, the pose feature, and the relationship feature of the object, and obtaining class information, pose information, and relationship information of the object based on the corrected class feature, the corrected pose feature, and the corrected relationship feature, respectively.
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公开(公告)号：US20200324787A1
公开(公告)日：2020-10-15
申请号：US16957629
申请日：2018-10-25
Applicant: Samsung Electronics Co., Ltd.
Inventor： Chun WANG , Weiming LI , Zhihua LIU , Jie DONG
Abstract: Embodiments of the present invention provide an Augmented Reality (AR) method and apparatus for driving assistance, which are applied in the technical field of AR. The method comprises the steps of: determining, based on information acquired during the driving process, driving assistance information, and displaying virtual three dimensional (3D) display information corresponding to the driving assistance information. In the present invention, the AR technology can be applied in the vehicle travelling process to assist a driver in better mastering driving information in the vehicle travelling process, and the user experience can be improved.
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公开(公告)号：US20200160616A1
公开(公告)日：2020-05-21
申请号：US16674139
申请日：2019-11-05
Applicant: Samsung Electronics Co., Ltd.
Inventor： Weiming LI , Hyong Euk LEE , Hao WANG , Seungin PARK , Qiang WANG , Yang LIU , Yueying KAO
Abstract: Provided is a method and apparatus for aligning a three-dimensional (3D) model. The 3D model alignment method includes acquiring, by a processor, at least one two-dimensional (2D) image including an object, detecting, by the processor, a feature point of the object in the at least one 2D input image using a neural network, estimating, by the processor, a 3D pose of the object in the at least one 2D input image using the neural network, retrieving, by the processor, a target 3D model based on the estimated 3D pose, and aligning, by the processor, the target 3D model and the object based on the feature point.
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