Patents by Inventor Seon Min RHEE
Seon Min RHEE 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: 20220027668Abstract: A neural network includes a drop layer configured to drops feature values. A method of computation using the neural network includes extracting feature data from input data using a first portion of a neural network, generating compressed representation data of the extracted feature data by dropping a feature value from the extracted feature data at a drop layer of the neural network based on a drop probability corresponding to the feature value, and indicating an inference result from the compressed representation data using a second portion of the neural network.Type: ApplicationFiled: June 7, 2021Publication date: January 27, 2022Applicants: Samsung Electronics Co., Ltd., Seoul National University R&DB FoundationInventors: Seon Min RHEE, Jaekyeom KIM, Gunhee KIM, Minjung KIM, Dongyeon WOO, Seungju HAN
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Publication number: 20210366139Abstract: A method and apparatus for generating a depth image are provided. The apparatus receives an input image, extracts a feature corresponding to the input image, generates features for each depth resolution by decoding the feature using decoders corresponding to different depth resolutions, estimates probability distributions for each depth resolution by progressively refining the features for each depth resolution, and generates a target depth image corresponding to the input image based on a final estimated probability distribution from among the probability distributions for each depth resolution.Type: ApplicationFiled: April 8, 2021Publication date: November 25, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Jihye KIM, Seon Min RHEE, Heewon KIM, Seungju HAN, Jaejoon HAN
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Publication number: 20210192187Abstract: A user authentication method and a user authentication apparatus acquire an input image including a frontalized face of a user, calculate a confidence map including confidence values, for authenticating the user, corresponding to pixels with values maintained in a depth image of the frontalized face of the user among pixels included in the input image, extract a second feature vector from a second image generated based on the input image and the confidence map, acquire a first feature vector corresponding to an enrolled image, and perform authentication of the user based on a correlation between the first feature vector and the second feature vector.Type: ApplicationFiled: May 15, 2020Publication date: June 24, 2021Applicant: Samsung Electronics Co., Ltd.Inventors: Heewon KIM, Seon Min RHEE, Jihye KIM, Ju Hwan SONG, Jaejoon HAN
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Publication number: 20210158509Abstract: A processor-implemented method includes: generating a preprocessed infrared (IR) image by performing first preprocessing based on an IR image including an object; generating a preprocessed depth image by performing second preprocessing based on a depth image including the object; and determining whether the object is a genuine object based on the preprocessed IR image and the preprocessed depth image.Type: ApplicationFiled: June 12, 2020Publication date: May 27, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Youngjun KWAK, Minsu KO, Youngsung KIM, Heewon KIM, Ju Hwan SONG, Byung In YOO, Seon Min RHEE, Yong-il LEE, Jiho CHOI, Seungju HAN
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Publication number: 20210158012Abstract: A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.Type: ApplicationFiled: January 6, 2021Publication date: May 27, 2021Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Seon Min RHEE, Kyuhong KIM, Hana LEE, Changkyu CHOI
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Publication number: 20210144357Abstract: A method with depth image generation may include: receiving an input image; generating a first low-resolution image having a resolution lower than a resolution of the input image; acquiring a first depth residual image corresponding to the input image by using a first generation model based on a first neural network; generating a first low-resolution depth image corresponding to the first low-resolution image by using a second generation model based on a second neural network; and generating a target depth image corresponding to the input image, based on the first depth residual image and the first low-resolution depth image.Type: ApplicationFiled: April 29, 2020Publication date: May 13, 2021Applicant: Samsung Electronics Co., Ltd.Inventors: Jihye KIM, Seon Min RHEE, Jaejoon HAN, Heewon KIM
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METHOD AND APPARATUS FOR RECOGNIZING OBJECT, AND METHOD AND APPARATUS FOR TRAINING RECOGNITION MODEL
Publication number: 20210073582Abstract: 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.Type: ApplicationFiled: November 23, 2020Publication date: March 11, 2021Applicant: Samsung Electronics Co., Ltd.Inventors: Byungin YOO, Youngjun KWAK, Jungbae KIM, Seon Min RHEE, Seungju HAN, Jaejoon HAN, Wonjun HWANG -
Patent number: 10909347Abstract: A fingerprint verification method and apparatus is disclosed. The fingerprint verification method may include obtaining an input fingerprint image, determining a matching region between the input fingerprint image and a registered fingerprint image, determining a similarity corresponding to the matching region, representing a determined indication of similarities between the input fingerprint image and the registered fingerprint image, relating the determined similarity to the matching region as represented in a matching region-based similarity, determining a result of a verification of the input fingerprint image based on the matching region-based similarity, and indicating the result of the verification.Type: GrantFiled: February 7, 2018Date of Patent: February 2, 2021Assignee: Samsung Electronics Co., Ltd.Inventors: Seon Min Rhee, Kyuhong Kim, Hana Lee, Changkyu Choi
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Method and apparatus for recognizing object, and method and apparatus for training recognition model
Patent number: 10860887Abstract: 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.Type: GrantFiled: November 9, 2016Date of Patent: December 8, 2020Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Byungin Yoo, Youngjun Kwak, Jungbae Kim, Seon Min Rhee, Seungju Han, Jaejoon Han, Wonjun Hwang -
Patent number: 10832030Abstract: A method of selecting a candidate fingerprint image for fingerprint recognition includes acquiring a target fingerprint image, generating a target frequency image based on a frequency conversion of the target fingerprint image, extracting frequency feature information associated with a representative frequency from the target frequency image, and selecting a candidate fingerprint image from enrolled fingerprint images by comparing the frequency feature information to enrolled frequency information.Type: GrantFiled: November 14, 2017Date of Patent: November 10, 2020Assignee: Samsung Electronics Co., Ltd.Inventors: Seon Min Rhee, Kyuhong Kim, Changkyu Choi
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Publication number: 20200285837Abstract: 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.Type: ApplicationFiled: May 22, 2020Publication date: September 10, 2020Applicant: Samsung Electronics Co., Ltd.Inventors: Seon Min RHEE, Jungbae KIM, Byungin YOO, Jaejoon HAN, Seungju HAN
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Patent number: 10769256Abstract: An adaptive updating method of an enrollment database is disclosed. The method may include extracting a first feature vector from an input image of a user, determining whether the input image is to be enrolled in an enrollment database based on the first feature vector, second feature vectors of enrollment images including initial enrollment images enrolled in the enrollment database, and a representative vector representing the initial enrollment images, and enrolling the input image in the enrollment database based on a result of the determining.Type: GrantFiled: March 27, 2017Date of Patent: September 8, 2020Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Jaejoon Han, Jungbae Kim, Seon Min Rhee, Seungju Han, Minsu Ko
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Patent number: 10769255Abstract: A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.Type: GrantFiled: September 20, 2016Date of Patent: September 8, 2020Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Jungbae Kim, Seon Min Rhee, Jaejoon Han
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Publication number: 20200257786Abstract: A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.Type: ApplicationFiled: April 28, 2020Publication date: August 13, 2020Applicant: Samsung Electronics Co., Ltd.Inventors: Jungbae KIM, Seon Min RHEE, Jaejoon HAN
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Patent number: 10733422Abstract: 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.Type: GrantFiled: June 4, 2019Date of Patent: August 4, 2020Assignee: Samsung Electronics Co., Ltd.Inventors: Seon Min Rhee, Jungbae Kim, Byungin Yoo, Jaejoon Han, Seungju Han
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Publication number: 20200210685Abstract: A processor-implemented verification method includes: detecting a characteristic of an input image; acquiring input feature transformation data and enrolled feature transformation data by respectively transforming input feature data and enrolled feature data based on the detected characteristic, wherein the input feature data is extracted from the input image using a feature extraction model; and verifying a user corresponding to the input image based on a result of comparison between the input feature transformation data and the enrolled feature transformation data.Type: ApplicationFiled: December 27, 2019Publication date: July 2, 2020Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Minsu KO, Seungju HAN, Wonsuk CHANG, Jaejoon HAN, Seon Min RHEE, Chang Kyu CHOI
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Publication number: 20200134383Abstract: An apparatus for training an image generative model and an image generating apparatus are provided. The apparatus generates output images from a plurality of input images based on the generative model, extracts depth features from the respective output images based on a depth classification model, calculates a depth loss from the extracted depth features, and trains the generative model based on an overall loss that includes the calculated depth loss.Type: ApplicationFiled: October 8, 2019Publication date: April 30, 2020Applicant: SAMSUNG ELECTRONICS CO., LTD.Inventors: Seon Min RHEE, Minsu KO, Jihye KIM, Byung In YOO, Chang Kyu CHOI, Jaejoon HAN
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Patent number: 10546177Abstract: A fingerprint verification method and a fingerprint verification apparatus performing the fingerprint verification method are disclosed. The fingerprint verification apparatus determines a first similarity between a query fingerprint image and each of registered fingerprint images, selects a target registered fingerprint image group from registered fingerprint image groups based on the first similarity, determines a second similarity between the query fingerprint image and each of registered fingerprint images in the target registered fingerprint image group based on matching relationship information between the registered fingerprint images in the target registered fingerprint image group, and determines whether fingerprint verification of the query fingerprint image is successful based on the second similarity.Type: GrantFiled: March 20, 2018Date of Patent: January 28, 2020Assignee: Samsung Electronics Co., Ltd.Inventors: Hana Lee, Kyuhong Kim, Seon Min Rhee, Changkyu Choi
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Patent number: 10482656Abstract: A three-dimensional (3D) face modeling method and apparatus is disclosed. The 3D face modeling apparatus may generate a personalized 3D face model using a two-dimensional (2D) input image and a generic 3D face model, obtain a depth image and a texture image using the generated personalized 3D face model, determine a patch region of each of the depth image and the texture image, and adjust a shape of the personalized 3D face model based on a matching relationship between the patch region of the depth image and the patch region of the texture image.Type: GrantFiled: November 7, 2016Date of Patent: November 19, 2019Assignee: SAMSUNG ELECTRONICS CO., LTD.Inventors: Seon Min Rhee, Jungbae Kim, Jaejoon Han
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Publication number: 20190286884Abstract: 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.Type: ApplicationFiled: June 4, 2019Publication date: September 19, 2019Applicant: Samsung Electronics Co., Ltd.Inventors: Seon Min RHEE, Jungbae KIM, Byungin YOO, Jaejoon HAN, Seungju HAN