Patents by Inventor Myung-Ho JU
Myung-Ho JU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240119653Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled, at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: ApplicationFiled: December 19, 2023Publication date: April 11, 2024Applicant: Tahoe Research, Ltd.Inventors: Minje PARK, Tae-Hoon KIM, Myung-Ho JU, Jihyeon YI, Xiaolu SHEN, Lidan ZHANG, Qiang LI
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Patent number: 11887231Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled, at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: GrantFiled: October 17, 2019Date of Patent: January 30, 2024Assignee: Tahoe Research, Ltd.Inventors: Minje Park, Tae-Hoon Kim, Myung-Ho Ju, Jihyeon Yi, Xiaolu Shen, Lidan Zhang, Qiang Li
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Patent number: 11587279Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: GrantFiled: February 28, 2022Date of Patent: February 21, 2023Assignee: INTEL CORPORATIONInventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Publication number: 20220237845Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: ApplicationFiled: February 28, 2022Publication date: July 28, 2022Inventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Patent number: 11295502Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: GrantFiled: August 7, 2020Date of Patent: April 5, 2022Assignee: Intel CorporationInventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Publication number: 20210056746Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: ApplicationFiled: August 7, 2020Publication date: February 25, 2021Inventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Patent number: 10740944Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: GrantFiled: October 26, 2018Date of Patent: August 11, 2020Assignee: Intel CorporationInventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Publication number: 20200051306Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: ApplicationFiled: October 17, 2019Publication date: February 13, 2020Applicant: INTEL CORPORATIONInventors: Minje Park, Tae-Hoon Kim, Myung-Ho Ju, Jihyeon Yi, Xiaolu Shen, Lidan Zhang, Qiang Li
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Patent number: 10475225Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: GrantFiled: December 18, 2015Date of Patent: November 12, 2019Assignee: Intel CorporationInventors: Minje Park, Tae-Hoon Kim, Myung-Ho Ju, Jihyeon Yi, Xiaolu Shen, Lidan Zhang, Qiang Li
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Publication number: 20190304155Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: ApplicationFiled: October 26, 2018Publication date: October 3, 2019Inventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Publication number: 20180300925Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: ApplicationFiled: November 27, 2017Publication date: October 18, 2018Inventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Patent number: 9830728Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: GrantFiled: December 23, 2014Date of Patent: November 28, 2017Assignee: Intel CorporationInventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Publication number: 20170256086Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.Type: ApplicationFiled: December 18, 2015Publication date: September 7, 2017Applicant: INTEL CORPORATIONInventors: MINJE PARK, TAE-HOON KIM, MYUNG-HO JU, JIHYEON YI, XIAOLU SHEN, LIDAN ZHANG, QIANG LI
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Patent number: 9679412Abstract: Apparatuses, methods and storage medium associated with 3D face model reconstruction are disclosed herein. In embodiments, an apparatus may include a facial landmark detector, a model fitter and a model tracker. The facial landmark detector may be configured to detect a plurality of landmarks of a face and their locations within each of a plurality of image frames. The model fitter may be configured to generate a 3D model of the face from a 3D model of a neutral face, in view of detected landmarks of the face and their locations within a first one of the plurality of image frames. The model tracker may be configured to maintain the 3D model to track the face in subsequent image frames, successively updating the 3D model in view of detected landmarks of the face and their locations within each of successive ones of the plurality of image frames.Type: GrantFiled: June 20, 2014Date of Patent: June 13, 2017Assignee: Intel CorporationInventors: Minje Park, Olivier Duchenne, Yeongjae Cheon, Tae-Hoon Kim, Xiaolu Shen, Yangzhou Du, Wooju Ryu, Myung-Ho Ju
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Publication number: 20160328875Abstract: Examples of systems and methods for augmented facial animation are generally described herein. A method for mapping facial expressions to an alternative avatar expression may include capturing a series of images of a face, and detecting a sequence of facial expressions of the face from the series of images. The method may include determining an alternative avatar expression mapped to the sequence of facial expressions, and animating an avatar using the alternative avatar expression.Type: ApplicationFiled: December 23, 2014Publication date: November 10, 2016Inventors: Yikai Fang, Yangzhou Du, Qiang Eric Li, Xiaofeng Tong, Wenlong Li, Minje Park, Myung-Ho Ju, Jihyeon Kate Yi, Tae-Hoon Pete Kim
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Publication number: 20160275721Abstract: Apparatuses, methods and storage medium associated with 3D face model reconstruction are disclosed herein. In embodiments, an apparatus may include a facial landmark detector, a model fitter and a model tracker. The facial landmark detector may be configured to detect a plurality of landmarks of a face and their locations within each of a plurality of image frames. The model fitter may be configured to generate a 3D model of the face from a 3D model of a neutral face, in view of detected landmarks of the face and their locations within a first one of the plurality of image frames. The model tracker may be configured to maintain the 3D model to track the face in subsequent image frames, successively updating the 3D model in view of detected landmarks of the face and their locations within each of successive ones of the plurality of image frames.Type: ApplicationFiled: June 20, 2014Publication date: September 22, 2016Inventors: Minje PARK, Olivier DUCHENNE, Yeongjae CHEON, Tae-Hoon KIM, Xiaolu SHEN, Yangzhou DU, Wooju RYU, Myung-Ho JU
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Publication number: 20150169940Abstract: The method of face model alignment on unseen face includes inputting a face image; warping the face image into a standard shaped face based on a model seen by AAM (Active Appearance Model); normalizing the warped image by removing a texture change of the warped image; extracting a face texture from the normalized image; calculating error areas by comparing the face texture with the seen model; and aligning edges of the face texture with edges of the seen model while reducing the difference of the error areas.Type: ApplicationFiled: March 12, 2014Publication date: June 18, 2015Applicant: CATHOLIC UNIVERSITY INDUSTRY ACADEMIC COOPERATION FOUNDATIONInventors: Hang-Bong KANG, Myung-Ho JU