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公开(公告)号：US20200285837A1
公开(公告)日：2020-09-10
申请号：US16881436
申请日：2020-05-22
发明人： Seon Min RHEE , Jungbae KIM , Byungin YOO , Jaejoon HAN , Seungju HAN
摘要： Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
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公开(公告)号：US20160210751A1
公开(公告)日：2016-07-21
申请号：US14994688
申请日：2016-01-13
发明人： Xuetao FENG , Biao Wang , Hao Feng , Hongwei Zhang , Changkyu CHOI , Jaejoon HAN , Jungbae KIM , Lujin GONG
CPC分类号： G06K9/4604 , G06K9/00214 , G06K9/00288 , G06K9/4652 , G06K9/481 , G06K9/6201 , G06K9/6206 , G06T7/33 , G06T2200/04 , G06T2207/10028 , G06T2207/30201
摘要： Provided is a 3D registration method and apparatus that may select a key point from among plural points included in 3D target data, based on a geometric feature or a color feature of each of the plural points, may adjust a position of the selected key point of the 3D target data based on features of, or a distance between, a key point of the 3D source data and the selected key point of the 3D target data, may calculate reliabilities of plural key points of the 3D source data based on respective features of at least one key point of the 3D target data determined to correspond to the plural key points of the 3D source data, and may generate 3D registration data by performing 3D registration between the 3D source data and the 3D target data based on the calculated reliabilities.
摘要翻译： 提供了一种可以基于多个点中的每一个的几何特征或颜色特征来选择包括在3D目标数据中的多个点中的关键点的3D登记方法和装置，可以调整所选择的关键点的位置 基于3D源数据的关键点和3D目标数据的所选关键点之间的特征或距离的3D目标数据可以基于3D源数据的各个特征来计算3D源数据的多个关键点的可靠性 所述3D目标数据的至少一个关键点被确定为对应于所述3D源数据的所述多个关键点，并且可以基于所计算的可靠性通过在所述3D源数据和所述3D目标数据之间执行3D注册来生成3D注册数据。
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3.发明申请MEDICAL IMAGE PROCESSING APPARATUS AND MEDICAL IMAGE REGISTRATION METHOD USING THE SAME 有权医学图像处理装置和使用该图像的医学图像注册方法公开(公告)号：US20160155222A1
公开(公告)日：2016-06-02
申请号：US14823059
申请日：2015-08-11
发明人： Jayeon JEONG , Won-chul BANG , Jiwon RYU , Youngtaek OH , Jungwoo CHANG , Jungbae KIM , Kyong Joon LEE
CPC分类号： G06T7/337 , G06T7/11 , G06T7/194 , G06T2207/10081 , G06T2207/10132
摘要： A medical image registration method includes determining whether a reference point of registration is present in a first medical image and a second medical image of an object; in response to determining that the reference point is not present in one of the first medical image and the second medical image, estimating a virtual reference point corresponding to the reference point in one of the first medical image and the second medical image, in which the reference point is not present, by using anatomical information of the object; and registering the first medical image and the second medical image by using the estimated virtual reference point.
摘要翻译： 医疗图像登记方法包括：确定登记的参考点是否存在于对象的第一医用图像和第二医用图像中; 响应于确定参考点不存在于第一医学图像和第二医学图像之一中，在第一医学图像和第二医学图像之一中估计与参考点相对应的虚拟参考点，其中 参考点不存在，通过使用对象的解剖信息; 以及通过使用所估计的虚拟参考点来登记第一医疗图像和第二医疗图像。
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4.发明申请METHOD AND APPARATUS FOR REGISTERING FACE, AND METHOD AND APPARATUS FOR RECOGNIZING FACE 审中-公开用于注册面的方法和装置，以及用于识别脸部的方法和装置公开(公告)号：US20160154994A1
公开(公告)日：2016-06-02
申请号：US14918783
申请日：2015-10-21
发明人： Jungbae KIM , Seon Min RHEE , Youngkyoo HWANG , Jaejoon HAN
CPC分类号： G06K9/00248 , G06K9/00208
摘要： A method and an apparatus for registering a face, and a method and an apparatus for recognizing a face are disclosed, in which a face registering apparatus may change a stored three-dimensional (3D) facial model to an individualized 3D facial model based on facial landmarks extracted from two-dimensional (2D) face images, match the individualized 3D facial model to a current 2D face image of the 2D face images, and extract an image feature of the current 2D face image from regions in the current 2D face image to which 3D feature points of the individualized 3D facial model are projected, and a face recognizing apparatus may perform facial recognition based on image features of the 2D face images extracted by the face registering apparatus.
摘要翻译： 公开了一种用于登记脸部的方法和装置，以及用于识别脸部的方法和装置，其中面部登记装置可以将存储的三维（3D）面部模型改变为基于面部的个性化3D面部模型 从二维（2D）面部图像提取的地标，将个体化3D面部模型与2D脸部图像的当前2D脸部图像相匹配，并将当前2D脸部图像的图像特征从当前2D脸部图像中的区域提取到 投影个性化3D面部模型的3D特征点，面部识别装置可以基于面部登记装置提取的2D面部图像的图像特征进行面部识别。
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公开(公告)号：US20190286884A1
公开(公告)日：2019-09-19
申请号：US16430811
申请日：2019-06-04
发明人： Seon Min RHEE , Jungbae KIM , Byungin YOO , Jaejoon HAN , Seungju HAN
摘要： Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.
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6.发明申请公开(公告)号：US20170140247A1
公开(公告)日：2017-05-18
申请号：US15347143
申请日：2016-11-09
发明人： Byungin YOO , Youngjun KWAK , Jungbae KIM , Seon Min RHEE , Seungju HAN , Jaejoon HAN , Wonjun HWANG
CPC分类号： G06K9/6256 , G06K9/00067 , G06K9/00087 , G06K9/00221 , G06K9/00268 , G06K9/00288 , G06K9/4623 , G06N3/08 , H04L63/0861
摘要： A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.
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公开(公告)号：US20150371361A1
公开(公告)日：2015-12-24
申请号：US14736914
申请日：2015-06-11
发明人： Sunkwon KIM , Joonho SEO , Youngkyoo HWANG , Jungbae KIM , Youngtaek OH , Wonchul BANG
CPC分类号： G06T3/0068 , G06T7/0014 , G06T7/0044 , G06T7/33 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/30004
摘要： A method for registering medical images includes calculating, when a probe is disposed on a reference point of a target, a transformation relation for registering a first medical image and a second medical image having a different modality from the first medical image by using the reference point, wherein the first medical image is obtained by using the probe; and obtaining a sectional image of the second medical image corresponding to a sectional image of the first medical image from the second medical image by using the transformation relation.
摘要翻译： 一种用于记录医学图像的方法包括：当探针设置在目标的参考点上时，通过使用参考点来计算用于登记第一医学图像和具有与第一医学图像不同的模态的第二医学图像的变换关系 ，其中通过使用所述探针获得所述第一医学图像; 以及通过使用变换关系从第二医用图像获得与第一医用图像的截面图像对应的第二医用图像的截面图像。
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公开(公告)号：US20150289848A1
公开(公告)日：2015-10-15
申请号：US14597290
申请日：2015-01-15
发明人： Youngkyoo HWANG , Jungbae KIM , Youngtaek OH , Wonchul BANG , Jong Beom RA , Woo Hyun NAM , Chijun WOEN
CPC分类号： A61B8/5261 , A61B5/055 , A61B5/1128 , A61B5/113 , A61B5/7289 , A61B6/032 , A61B6/037 , A61B6/4417 , A61B6/486 , A61B6/5247 , A61B6/5288 , A61B8/463 , A61B2505/05 , A61B2576/02 , G01R33/5608 , G06T7/33 , G06T2207/10072 , G06T2207/10116 , G06T2207/10132
摘要： A medical image registration method and apparatus are described. By performance of a medical image registration method, a highly accurate registered image, in which breathing deformation information is considered, may be obtained by generation of non-real-time medical images in which the breathing deformation information is reflected before a medical procedure is conducted and by rigid registration of a real-time medical image and the generated non-real-time medical images during the medical procedure.
摘要翻译： 描述医疗图像配准方法和装置。 通过执行医学图像配准方法，可以通过生成在执行医疗程序之前反映呼吸变形信息的非实时医学图像来获得其中考虑了呼吸变形信息的高精度的登记图像 并且通过在医疗过程期间实时医学图像的刚性配准和生成的非实时医学图像。
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9.发明申请公开(公告)号：US20210073582A1
公开(公告)日：2021-03-11
申请号：US17101552
申请日：2020-11-23
发明人： Byungin YOO , Youngjun KWAK , Jungbae KIM , Seon Min RHEE , Seungju HAN , Jaejoon HAN , Wonjun HWANG
摘要： A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.
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公开(公告)号：US20180060648A1
公开(公告)日：2018-03-01
申请号：US15656350
申请日：2017-07-21
发明人： Byungin YOO , Youngjun KWAK , Jungbae KIM , Jinwoo SON , Changkyo LEE , Chang Kyu CHOI , Jaejoon HAN
CPC分类号： G06K9/00288 , G06K9/00107 , G06K9/00114 , G06K9/00228 , G06K9/00268 , G06K9/00899 , G06K9/00906 , G06K9/50 , G06N3/04 , G06N3/08
摘要： A liveness test method and apparatus is disclosed. A processor implemented liveness test method includes extracting an interest region of an object from a portion of the object in an input image, performing a liveness test on the object using a neural network model-based liveness test model, the liveness test model using image information of the interest region as provided first input image information to the liveness test model and determining liveness based at least on extracted texture information from the information of the interest region by the liveness test model, and indicating a result of the liveness test.
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