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公开(公告)号：US20220187598A1
公开(公告)日：2022-06-16
申请号：US17324146
申请日：2021-05-19
发明人： Hojin JU , Donghoon SAGONG , Jaehwan PI
摘要： A method of estimating a position of an image display device, the method including determining position information of a neck of a user based on position information of an image display device worn by the user, filtering the position information of the neck, and estimating a position of the image display device based on the filtered position information of the neck.
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2.发明申请METHOD AND APPARATUS FOR MODELING AND RESTORING TARGET OBJECT USING PRE-COMPUTATION 审中-公开使用预先计算建模和恢复目标对象的方法和装置公开(公告)号：US20170024492A1
公开(公告)日：2017-01-26
申请号：US15178914
申请日：2016-06-10
发明人： Jiyeon KIM , Nahyup KANG , Donghoon SAGONG , Hyong Euk LEE , Hwiryong JUNG
CPC分类号： G06T19/20 , G06T17/00 , G06T2210/56 , G06T2219/2021
摘要： Provided is a method and apparatus for modeling and restoring a target object, the method including generating a key structure of the target object based on deformation information of the target object extracted from a pre-modeling result based on a shape and a material property of the target object, and calculating a virtual material property corresponding to the key structure based on the virtual material property and the key structure of the target object.
摘要翻译： 提供了一种用于建模和恢复目标对象的方法和装置，所述方法包括基于从预建模结果提取的目标对象的变形信息，基于所述目标对象的形状和材料属性来生成目标对象的关键结构 目标对象，并且基于目标对象的虚拟材料属性和键结构来计算与该键结构相对应的虚拟材料属性。
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公开(公告)号：US20240054716A1
公开(公告)日：2024-02-15
申请号：US18096972
申请日：2023-01-13
发明人： Seokhwan Jang , Nahyup KANG , Jiyeon KIM , Hyewon MOON , Donghoon SAGONG , Minjung SON
摘要： Disclosed are a method and device for representing rendered scenes. A data processing method of training a neural network model includes obtaining spatial information of sampling data, obtaining one or more volume-rendering parameters by inputting the spatial information of the sampling data to the neural network model, obtaining a regularization term based on a distribution of the volume-rendering parameters, performing volume rendering based on the volume-rendering parameters, and training the neural network model to minimize a loss function determined based on the regularization term and based on a difference between a ground truth image and an image that is estimated according to the volume rendering.
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公开(公告)号：US20200380751A1
公开(公告)日：2020-12-03
申请号：US16998166
申请日：2020-08-20
发明人： Nahyup KANG , Donghoon SAGONG , Hyong Euk LEE , Hwiryong JUNG
IPC分类号： G06T13/00 , G06F16/22 , G06F16/901 , G06T13/20 , G06F3/0484 , G06T7/20 , G06T11/20 , G06T15/50
摘要： A modeling method searches for a sequence matched to a user input using a fluid animation graph generated based on similarities among frames included in sequences included in the fluid animation graph and models a movement corresponding to the user input based on a result of the searching. Provided also is a corresponding apparatus and a method for preprocessing for such modeling.
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公开(公告)号：US20180150715A1
公开(公告)日：2018-05-31
申请号：US15492772
申请日：2017-04-20
发明人： Hyun Sung CHANG , Donghoon SAGONG , Minjung SON , Kyungboo JUNG , Young Hun SUNG
IPC分类号： G06K9/46
CPC分类号： G06K9/4609 , G06K9/3233 , G06K9/4628 , G06K9/4671 , G06K9/6267 , G06N3/0454 , G06N3/084
摘要： A method includes actuating a processor to apply an input image to a feature extractor including a plurality of layers, determine a third feature vector based on first feature vectors of an input image output by a first layer included in a feature extractor and second feature vectors of the input image output by a second layer in the feature extractor, and identify an object in the input image based on the third feature vector.
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公开(公告)号：US20170124431A1
公开(公告)日：2017-05-04
申请号：US15246822
申请日：2016-08-25
发明人： Hwiryong JUNG , Nahyup KANG , Jiyeon KIM , Donghoon SAGONG , Hyong Euk LEE
CPC分类号： G06T7/50 , G06T7/62 , G06T17/00 , G06T2210/24 , G06T2210/56
摘要： Provided is a method and apparatus for rendering a target fluid that include defining level-set information of fluid particles configuring a modeled target fluid. The level-set information comprises a shortest distance from a surface of the target fluid to the fluid particles. The method and apparatus are include discarding internal particles of the target fluid from the modeled target fluid based on the level-set information of the fluid particles, and calculating thickness information of the target fluid, from which the internal particles are discarded, based on depth information on the fluid particles. The target fluid is rendered based on the thickness information of the target fluid.
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公开(公告)号：US20170109920A1
公开(公告)日：2017-04-20
申请号：US15179170
申请日：2016-06-10
发明人： Hwiryong JUNG , Nahyup KANG , Jiyeon KIM , Donghoon SAGONG , Hyong Euk LEE , Minjung SON , Inwoo HA
CPC分类号： G06T15/06 , G06T15/04 , G06T15/506 , G06T15/80
摘要： A method of displaying caustics, the method includes determining intersection positions at which rays emitted from a light source pass through particles of a first object and meet a second object; applying caustic textures to the intersection positions; and rendering the first object using a caustic map based on a result of the applying caustic textures to the intersection positions.
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公开(公告)号：US20170098016A1
公开(公告)日：2017-04-06
申请号：US15241395
申请日：2016-08-19
发明人： Donghoon SAGONG , Nahyup KANG , Minjung SON , KeeChang LEE , Hyong Euk LEE , Heesae LEE
IPC分类号： G06F17/50
摘要： A method of modeling an object includes defining a state transition probability and a state of each of a plurality of particles forming the object; changing a state of a particle defined to be in a first state among the plurality of particles to a second state; applying a movement model to a particle defined to be in the second state among the plurality of particles; and changing a state of the particle defined to be in the second state to the first state based on the state transition probability.
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公开(公告)号：US20240257503A1
公开(公告)日：2024-08-01
申请号：US18350311
申请日：2023-07-11
发明人： Hyewon MOON , Nahyup KANG , Jiyeon KIM , Donghoon SAGONG , Seokhwan JANG
CPC分类号： G06V10/774 , G06T7/50 , G06T7/70 , G06T7/90 , G06T17/00 , G06V10/82 , G06T2207/30244
摘要： An image processing method and an image processing apparatus are provided. The image processing method includes: receiving a camera pose of a camera corresponding to a target scene; generating a piece of prediction information including either a color of an object included in the target scene or a density of the object, wherein the prediction information is generated by applying, to a neural network model, three-dimensional (3D) points on a camera ray formed based on the camera pose; sampling, among the 3D points, target points corresponding to a static object, wherein the sampling is based on the piece of prediction information; and outputting a rendered image corresponding to the target scene by projecting a pixel value corresponding to the target points onto the target scene and rendering the target scene onto which the pixel value may be projected.
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公开(公告)号：US20230128392A1
公开(公告)日：2023-04-27
申请号：US17698266
申请日：2022-03-18
发明人： Donghoon SAGONG , Hojin Ju
IPC分类号： G06T7/73 , G06V10/764 , G06V10/46 , H04N13/239 , H04N13/271
摘要： A sensing data processing device is provided. The sensing data processing device may track keypoints within a full observable range of the sensing data processing device based on sensing data collected from a previous frame and a sensing data collected from a current frame through a reference sensor, the full observable range determined based on a combined field of view (FOV) of sensors, manage a new keypoint together with the keypoints in response to the new keypoint being detected, and perform localization of the device based on the managed keypoints.
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