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公开(公告)号：US20200151963A1
公开(公告)日：2020-05-14
申请号：US16557726
申请日：2019-08-30
Inventor： Seung-Wook LEE , Tae-Joon KIM , Seung-Uk YOON , Seong-Jae LIM , Bon-Woo HWANG , Jin-Sung CHOI
Abstract: Disclosed herein are an apparatus and method for generating a training data set for machine learning. The method for generating a training data set, performed by the apparatus for generating the training data set for machine learning, includes generating a 3D model for a deformed 3D character based on 3D data pertaining to the 3D character, generating a 2D image corresponding to the 3D model, and generating the training data set for machine learning, through which the 3D character is generated from the 2D image, using the 2D image and the 3D model.
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公开(公告)号：US20210136280A1
公开(公告)日：2021-05-06
申请号：US17085077
申请日：2020-10-30
Inventor： Seong-Jae LIM , Ki-Nam KIM , Tae-Joon KIM , Seung-Uk YOON , Seung-Wook LEE , Bon-Woo HWANG
IPC: H04N5/232 , H04N13/275
Abstract: Disclosed herein are an apparatus and method for guiding multi-view capture. The apparatus for guiding multi-view capture includes one or more processors and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive a single-view two-dimensional (2D) image obtained by capturing an image of an object of interest through a camera, generate an orthographic projection image and a perspective projection image for the object of interest from the single-view 2D image using an image conversion parameter that is previously learned from multi-view 2D images for the object of interest, generate a 3D silhouette model for the object of interest using the orthographic projection image and the perspective projection image, and output the 3D silhouette model and a guidance interface for the 3D silhouette model.
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公开(公告)号：US20200273247A1
公开(公告)日：2020-08-27
申请号：US16752260
申请日：2020-01-24
Inventor： Seong-Jae LIM , Tae-Joon KIM , Seung-Uk YOON , Seung-Wook LEE , Bon-Woo HWANG , Jin-Sung CHOI
Abstract: Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.
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Patent Agency Ranking
公开(公告)号：US20210158606A1
公开(公告)日：2021-05-27
申请号：US16950457
申请日：2020-11-17
Inventor： Seung-Wook LEE , Ki-Nam KIM , Tae-Joon KIM , Seung-Uk YOON , Seong-Jae LIM , Bon-Woo HWANG , Chang-Joon PARK
Abstract: Disclosed herein are an apparatus and method for generating a 3D model. The apparatus for generating a 3D model includes one or more processors, and an execution memory for storing at least one program that is executed by the one or more processors, wherein the at least one program is configured to receive two-dimensional (2D) original image layers for respective viewpoints, and generate pieces of 2D original image information for respective objects by performing original image alignment on the 2D original image layers for respective viewpoints for each predefined object type, generate 3D model layers for respective objects from the pieces of 2D original image information for respective objects using multiple learning models corresponding to the predefined object types, and generate a 3D model by synthesizing the 3D model layers for respective objects.
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公开(公告)号：US20150172637A1
公开(公告)日：2015-06-18
申请号：US14569258
申请日：2014-12-12
Inventor： Seung-Uk YOON , Bon-Woo HWANG , Seong-Jae LIM , Kap-Kee KIM , Hye-Ryeong JUN , Jin-Sung CHOI , Bon-Ki KOO
CPC classification number: G06T17/00 , G06T7/149 , G06T2207/10028 , G06T2207/30201
Abstract: Disclosed are an apparatus and a method for generating three-dimensional output data, in which the appearance or face of a user is easily restored in a three-dimensional manner by using one or a plurality of cameras including a depth sensor, a three-dimensional avatar for an individual, which is produced through three-dimensional model transition, and data capable of being three-dimensionally output, which is generated based on the three-dimensional avatar for an individual. The apparatus includes an acquisition unit that acquires a three-dimensional model based on depth information and a color image from at least one point of view, a selection unit that selects at least one of three-dimensional template models, and a generation unit that modifies at least one of a plurality of three-dimensional template models selected by the selection unit and generates three-dimensional output data based on the three-dimensional model acquired by the acquisition unit.
Abstract translation: 公开了一种用于生成三维输出数据的装置和方法，其中通过使用一个或多个摄像机容易地以三维方式恢复用户的外观或面部，其包括深度传感器，三维 通过三维模型转换产生的个体的头像和能够被三维输出的数据，其基于个人的三维头像生成。 该装置包括从至少一个观点基于深度信息和彩色图像获取三维模型的获取单元，选择三维模板模型中的至少一个的选择单元和修改 由选择单元选择的多个三维模板模型中的至少一个，并且基于由获取单元获取的三维模型生成三维输出数据。
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公开(公告)号：US20220101604A1
公开(公告)日：2022-03-31
申请号：US17550606
申请日：2021-12-14
Inventor： Seong-Jae LIM , Tae-Joon KIM , Seung-Uk YOON , Seung-Wook LEE , Bon-Woo HWANG , Jin-Sung CHOI
Abstract: Disclosed herein are a learning-based three-dimensional (3D) model creation apparatus and method. A method for operating a learning-based 3D model creation apparatus includes generating multi-view feature images using supervised learning, creating a three-dimensional (3D) mesh model using a point cloud corresponding to the multi-view feature images and a feature image representing internal shape information, generating a texture map by projecting the 3D mesh model into three viewpoint images that are input, and creating a 3D model using the texture map.
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7.发明申请公开(公告)号：US20150254502A1
公开(公告)日：2015-09-10
申请号：US14637344
申请日：2015-03-03
Inventor： Seong-Jae LIM , Bon-Woo HWANG , Kap-Kee KIM , Seung-Uk YOON , Hye-Ryeong JUN , Jin-Sung CHOI , Bon-Ki KOO
CPC classification number: G06K9/00302 , B33Y80/00 , G05B19/40931 , G05B2219/2636 , G05B2219/49023 , G06K9/00 , G06K9/00214 , G06K9/00268 , G06T19/20 , Y02P90/265
Abstract: Disclosed herein is an apparatus and method for automatically creating a 3D personalized figure suitable for 3D printing by detecting a face area and features for respective regions from face data acquired by heterogeneous sensors and by optimizing global/local transformation. The 3D personalized figure creation apparatus acquires face data of a user corresponding to a reconstruction target; extracts feature points for respective regions from the face data, and reconstructs unique 3D models of the user's face, based on the extracted feature points; creates 3D figure models based on the unique 3D models and previously stored facial expression models and body/adornment models; and verifies whether each 3D figure model has a structure and a shape corresponding to actual 3D printing, corrects and edits the 3D figure model based on results of verification, and outputs a 3D figure model corresponding to 3D printing.
Abstract translation: 本文公开了一种用于通过从由异质传感器获取的面部数据和优化全局/局部变换来检测来自相应区域的面部区域和特征来自动创建适于3D打印的3D个性化图案的装置和方法。 3D个性化图形生成装置获取与重建对象对应的用户的面部数据; 从面部数据中提取各个区域的特征点，并基于提取的特征点重建用户脸部的独特3D模型; 基于独特的3D模型和先前存储的面部表情模型和身体/装饰模型创建3D图形模型; 并验证每个3D图形模型是否具有与实际3D打印相对应的结构和形状，基于验证结果校正和编辑3D图形模型，并输出与3D打印相对应的3D图形模型。
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8.发明申请APPARATUS AND METHOD FOR RECONSTRUCTING THREE DIMENSIONAL FACES BASED ON MULTIPLE CAMERAS 有权基于多个摄像机重构三维尺度的装置和方法公开(公告)号：US20130301906A1
公开(公告)日：2013-11-14
申请号：US13888333
申请日：2013-05-06
Inventor： Seung-Uk YOON , Kap-Kee KIM , Bon-Woo HWANG , Ji-Hyung LEE , Bon-Ki KOO
IPC: G06T7/00
CPC classification number: G06T7/529 , G06T7/593 , G06T17/00 , G06T2200/08 , G06T2207/10012 , G06T2207/10024 , G06T2207/30201
Abstract: Disclosed herein are an apparatus and method for reconstructing a three-dimensional (3D) face based on multiple cameras. The apparatus includes a multi-image analysis unit, a texture image separation unit, a reconstruction image automatic synchronization unit, a 3D appearance reconstruction unit, and a texture processing unit. The multi-image analysis unit determines the resolution information of images received from a plurality of cameras, and determines whether the images have been synchronized with each other. The texture image separation unit separates a texture processing image by comparing the resolutions of the received images. The reconstruction image automatic synchronization unit synchronizes images that are determined to be asynchronous images by the multi-image analysis unit. The 3D appearance reconstruction unit computes the 3D coordinate values of the synchronized images, and reconstructs a 3D appearance image. The texture processing unit reconstructs a 3D image by mapping the texture processing image to the 3D appearance image.
Abstract translation: 本文公开了一种用于基于多个照相机重建三维（3D）面部的装置和方法。 该装置包括多图像分析单元，纹理图像分离单元，重建图像自动同步单元，3D外观重建单元和纹理处理单元。 多图像分析单元确定从多个摄像机接收的图像的分辨率信息，并且确定图像是否已经彼此同步。 纹理图像分离单元通过比较接收到的图像的分辨率来分离纹理处理图像。 重建图像自动同步单元通过多图像分析单元同步确定为异步图像的图像。 3D外观重建单元计算同步图像的3D坐标值，并重建3D外观图像。 纹理处理单元通过将纹理处理图像映射到3D外观图像来重建3D图像。
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