Patents by Inventor Chang Kyu Choi

Chang Kyu Choi 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).

  • Patent number: 10755126
    Abstract: A convolutional neural network (CNN) processing method and apparatus. The apparatus may select, based on at least one of a characteristic of at least one kernel of a convolution layer or a characteristic of an input of the convolution layer, one operation mode from a first operation mode reusing a kernel, of the at least one kernel, and a second operation mode reusing the input, and perform a convolution operation based on the selected operation mode.
    Type: Grant
    Filed: October 31, 2017
    Date of Patent: August 25, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Jinwoo Son, Changyong Son, Chang Kyu Choi, Jaejoon Han
  • Patent number: 10755162
    Abstract: A method to reduce a neural network includes: adding a reduced layer, which is reduced from a layer in the neural network, to the neural network; computing a layer loss and a result loss with respect to the reduced layer based on the layer and the reduced layer; and determining a parameter of the reduced layer based on the layer loss and the result loss.
    Type: Grant
    Filed: May 2, 2017
    Date of Patent: August 25, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Seung Ju Han, Jung Bae Kim, Jae Joon Han, Chang Kyu Choi
  • Publication number: 20200257884
    Abstract: An apparatus and method for detecting a fake fingerprint is disclosed. The apparatus may divide an input fingerprint image into blocks, determine an image quality assessment (IQA) value associated with each block, determine a confidence value based on the IQA values using a confidence determination model, and determine whether an input fingerprint in the input fingerprint image is a fake fingerprint based on the determined confidence value.
    Type: Application
    Filed: April 28, 2020
    Publication date: August 13, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Wonjun KIM, Youngsung KIM, Sungjoo SUH, Hyungsuk KIM, Chang Kyu CHOI
  • Patent number: 10733424
    Abstract: Disclosed is a face verification method and apparatus. The method including analyzing a current frame of a verification image, determining a current frame state score of the verification image indicating whether the current frame is in a state predetermined as being appropriate for verification, determining whether the current frame state score satisfies a predetermined validity condition, and selectively, based on a result of the determining of whether the current frame state score satisfies the predetermined validity condition, extracting a feature from the current frame and performing verification by comparing a determined similarity between the extracted feature and a registered feature to a set verification threshold.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: August 4, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Changyong Son, Wonsuk Chang, Deoksang Kim, Dae-Kyu Shin, Byungin Yoo, Seungju Han, Jaejoon Han, Jinwoo Son, Chang Kyu Choi
  • Publication number: 20200245465
    Abstract: An electronic device includes a printed circuit board (PCB) defining a cavity, a first component pad of the PCB positioned outside the cavity, and a second component pad of the PCB positioned on a bottom surface of the cavity. The first component pad has a first thickness, and the second component pad has a second thickness that is less than the first thickness of the first component pad. An electronic component, such as a surface mounted technology (SMT) component, is mounted to the second component pad within the cavity.
    Type: Application
    Filed: January 29, 2019
    Publication date: July 30, 2020
    Inventors: Dingyou Zhang, Nitesh Kumbhat, Li Sun, Sarah Haney, Chang Kyu Choi
  • Patent number: 10726261
    Abstract: Disclosed is a user recognition apparatus and method, the apparatus configured to determine a validity of an iris area for each frame, to perform an iris recognition when the iris area is valid, and to extract a facial feature for a fusion recognition when the iris area is invalid.
    Type: Grant
    Filed: October 24, 2017
    Date of Patent: July 28, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Hyunjeong Lee, Sungjoo Suh, Changyong Son, Chang Kyu Choi, Jaejoon Han
  • Publication number: 20200210690
    Abstract: A processor-implemented liveness detection method includes: obtaining an initial image using a dual pixel sensor; obtaining a left image and a right image from the initial image; and detecting liveness of an object included in the initial image using the left image and the right image.
    Type: Application
    Filed: December 9, 2019
    Publication date: July 2, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Jaejoon HAN, Hana LEE, Jihye KIM, Jingtao XU, Chang Kyu CHOI, Hangkai TAN, Jiaqian YU
  • Publication number: 20200210685
    Abstract: 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: Application
    Filed: December 27, 2019
    Publication date: July 2, 2020
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Minsu KO, Seungju HAN, Wonsuk CHANG, Jaejoon HAN, Seon Min RHEE, Chang Kyu CHOI
  • Publication number: 20200210556
    Abstract: A user verification method and apparatus using a generalized user model is disclosed, where the user verification method includes generating a feature vector corresponding to a user based on input data corresponding to the user, determining a first parameter indicating a similarity between the feature vector and an enrolled feature vector enrolled for user verification, determining a second parameter indicating a similarity between the feature vector and a user model corresponding to generalized users, and verifying the user based on the first parameter and the second parameter.
    Type: Application
    Filed: August 20, 2019
    Publication date: July 2, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Dohwan LEE, Kyuhong KIM, Chang Kyu CHOI
  • Publication number: 20200202562
    Abstract: A gaze estimation method includes receiving, by a processor, input data including a current image and a previous image each including a face of a user, determining, by the processor, a gaze mode indicating a relative movement between the user and a camera that captured the current image and the previous image based on the input data, and estimating, by the processor, a gaze of the user based on the determined gaze mode, wherein the determined gaze mode is one of a plurality of gaze modes comprising a stationary mode and a motion mode.
    Type: Application
    Filed: December 20, 2019
    Publication date: June 25, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Tianchu GUO, Hui ZHANG, Xiabing LIU, Chang Kyu CHOI, Jaejoon HAN, Yongchao LIU
  • Publication number: 20200202199
    Abstract: A neural network processing method and apparatus based on nested bit representation is provided. The processing method includes obtaining first weights for a first layer of a source model of a first layer of a neural network, determining a bit-width for the first layer of the neural network, obtaining second weights for the first layer of the neural network by extracting at least one bit corresponding to the determined bit-width from each of the first weights for the first layer of a source model corresponding to the first layer of the neural network, and processing input data of the first layer of the neural network by executing the first layer of the neural network based on the obtained second weights.
    Type: Application
    Filed: August 12, 2019
    Publication date: June 25, 2020
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Seohyung LEE, Youngjun KWAK, Jinwoo SON, Changyong SON, Sangil JUNG, Chang Kyu CHOI, Jaejoon HAN
  • Publication number: 20200202200
    Abstract: A processor-implemented neural network processing method includes: obtaining a kernel bit-serial block corresponding to first data of a weight kernel of a layer in a neural network; generating a feature map bit-serial block based on second data of one or more input feature maps of the layer; and generating at least a portion of an output feature map by performing a convolution operation of the layer using a bitwise operation between the kernel bit-serial block and the feature map bit-serial block.
    Type: Application
    Filed: August 16, 2019
    Publication date: June 25, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Jinwoo SON, Changyong SON, Seohyung LEE, Sangil JUNG, Chang Kyu CHOI, Jaejoon HAN
  • Patent number: 10691909
    Abstract: A user authentication method using a fingerprint image, the user authentication method includes receiving at least a portion of a fingerprint image of a user; actuating a processor to divide the fingerprint image into a plurality of first sub-blocks; generate a set of input codes by encoding the first sub-blocks based on a coded model; measure a similarity between the set of the input codes and a set of registered codes included in a pre-registered binary codebook; and authenticate the user based on the similarity.
    Type: Grant
    Filed: July 19, 2017
    Date of Patent: June 23, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Namjoon Kim, Kyuhong Kim, Chang Kyu Choi
  • Patent number: 10691918
    Abstract: An apparatus and method for detecting a fake fingerprint is disclosed. The apparatus may divide an input fingerprint image into blocks, determine an image quality assessment (IQA) value associated with each block, determine a confidence value based on the IQA values using a confidence determination model, and determine whether an input fingerprint in the input fingerprint image is a fake fingerprint based on the determined confidence value.
    Type: Grant
    Filed: March 22, 2016
    Date of Patent: June 23, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Wonjun Kim, Youngsung Kim, Sungjoo Suh, Hyungsuk Kim, Chang Kyu Choi
  • Publication number: 20200134383
    Abstract: 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: Application
    Filed: October 8, 2019
    Publication date: April 30, 2020
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Seon Min RHEE, Minsu KO, Jihye KIM, Byung In YOO, Chang Kyu CHOI, Jaejoon HAN
  • Publication number: 20200125820
    Abstract: A data recognition method includes: extracting a feature map from input data based on a feature extraction layer of a data recognition model; pooling component vectors from the feature map based on a pooling layer of the data recognition model; and generating an embedding vector by recombining the component vectors based on a combination layer of the data recognition model.
    Type: Application
    Filed: March 7, 2019
    Publication date: April 23, 2020
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Insoo KIM, Kyuhong KIM, Chang Kyu CHOI
  • Patent number: 10592729
    Abstract: Disclosed is a face detection method and apparatus, the method including detecting a candidate area from a target image using a first sliding window moving at an interval of a first step length and detecting a face area in the candidate area using a second sliding window moving at an interval of a second step length less than the first step length.
    Type: Grant
    Filed: December 29, 2016
    Date of Patent: March 17, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Hao Feng, Chao Zhang, Wonjun Hwang, Biao Wang, Bing Yu, Chang Kyu Choi, Jaejoon Han
  • Patent number: 10579872
    Abstract: A method and apparatus for extracting an iris region is disclosed. The apparatus may generate a classification map associated with an iris region from an eye image using a trained neural network model, estimate a geometric parameter associated with the iris region using the generated classification map, and extract the iris region from the eye image based on the estimated geometric parameter.
    Type: Grant
    Filed: August 22, 2017
    Date of Patent: March 3, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Jihye Kim, Sungjoo Suh, Hyunjeong Lee, Chang Kyu Choi
  • Patent number: 10558912
    Abstract: Provided is a method and apparatus to recognizing an object based on an attribute of the object and training that may calculate object age information from input data using an attribute layer trained with respect to an attribute of an object and a classification layer trained with respect to a classification of the object. The method to recognize the object includes extracting feature data from input data including an object using an object model, determining attribute classification information related to the input data from the feature data using a classification layer, determining attribute age information related to an attribute from the feature data using an attribute layer, and estimating object age information based on the attribute classification information and the attribute age information.
    Type: Grant
    Filed: May 16, 2017
    Date of Patent: February 11, 2020
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Youngjun Kwak, Byungin Yoo, Youngsung Kim, Chang Kyu Choi
  • Publication number: 20200027001
    Abstract: A neural network recognition method includes obtaining a first neural network that includes layers and a second neural network that includes a layer connected to the first neural network, actuating a processor to compute a first feature map from input data based on a layer of the first neural network, compute a second feature map from the input data based on the layer connected to the first neural network in the second neural network, and generate a recognition result based on the first neural network from an intermediate feature map computed by applying an element-wise operation to the first feature map and the second feature map.
    Type: Application
    Filed: September 11, 2019
    Publication date: January 23, 2020
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Byungin YOO, Youngsung KIM, Youngjun KWAK, Chang Kyu CHOI