公开(公告)号：US09875397B2

公开(公告)日：2018-01-23

申请号：US14817389

申请日：2015-08-04

Applicant: Samsung Electronics Co., Ltd.

Inventor： Wonjun Hwang ,  Wonjun Kim ,  Sungjoo Suh ,  Jungbae Kim ,  Jaejoon Han

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00288 ,  G06K9/6244 ,  G06K9/6271

Abstract: At least one example embodiment discloses a method of extracting a feature of an input image. The method includes constructing an example pyramid including at least one hierarchical level based on stored example images, generating a codebook in each of the at least one hierarchical level, calculating a similarity between the codebook and the input image, and extracting a feature of the input image based on the similarity.

公开(公告)号：US09773159B2

公开(公告)日：2017-09-26

申请号：US14812252

申请日：2015-07-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changkyo Lee ,  Byungin Yoo ,  Namjoon Kim ,  Jaejoon Han

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/46

CPC classification number: G06K9/00268 ,  G06K9/4642 ,  G06K9/6202 ,  G06K9/6277 ,  G06K2009/4666

Abstract: At least one example embodiment discloses an image feature extracting method. The method includes determining a probabilistic model based on pixel values of pixels in a kernel, determining image feature information of a current pixel of the pixels in the kernel and determining whether to change the image feature information of the current pixel based on a random value and a probability value of the current pixel, the probability value being based on the probabilistic model.

公开(公告)号：US12169910B2

公开(公告)日：2024-12-17

申请号：US18380281

申请日：2023-10-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jihye Kim ,  Seon Min Rhee ,  Jongseok Kim ,  Heewon Kim ,  Seungju Han ,  Jaejoon Han

IPC: G06T5/00 ,  G06T5/50 ,  G06V10/40

Abstract: An image processing method includes receiving an input image and a guide image corresponding to the input image, extracting informative features from the input image and the guide image to enhance the input image, selectively obtaining a first feature for the input image from among the informative features, and processing the input image based on the first feature.

公开(公告)号：US12131560B2

公开(公告)日：2024-10-29

申请号：US18355020

申请日：2023-07-19

Applicant: Samsung Electronics Co., Ltd.

Inventor： Heewon Kim ,  Seon Min Rhee ,  Jihye Kim ,  Ju Hwan Song ,  Jaejoon Han

IPC: G06V20/64 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2413 ,  G06F21/32 ,  G06N3/08 ,  G06T7/50 ,  G06V10/44 ,  G06V10/74 ,  G06V10/75 ,  G06V40/16

CPC classification number: G06V20/647 ,  G06F18/214 ,  G06F18/22 ,  G06F18/2413 ,  G06F21/32 ,  G06N3/08 ,  G06T7/50 ,  G06V10/454 ,  G06V10/751 ,  G06V10/761 ,  G06V40/165 ,  G06V40/168 ,  G06V40/172 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: 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.

公开(公告)号：US12118764B2

公开(公告)日：2024-10-15

申请号：US17177702

申请日：2021-02-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaehyoung Yoo ,  Changyong Son ,  Dongwook Lee ,  Jaejoon Han ,  Chang Kyu Choi

IPC: G06V10/44 ,  G06N3/045 ,  G06N3/08 ,  H04N23/611 ,  H04N23/65 ,  H04N23/667 ,  H04N23/695

CPC classification number: G06V10/44 ,  G06N3/045 ,  G06N3/08 ,  H04N23/611 ,  H04N23/651 ,  H04N23/667 ,  H04N23/695

Abstract: A method and apparatus for processing an image based on partial images. The method includes extracting a feature of a current partial processing region of an input image frame by inputting pixel data of the current partial processing region into a convolutional neural network (CNN), updating a hidden state of a recurrent neural network (RNN) for a context between the current partial processing region and at least one previous partial processing region by inputting the extracted feature into the RNN, and generating an image processing result for the input image frame based on the updated hidden state.

公开(公告)号：US12106539B2

公开(公告)日：2024-10-01

申请号：US17019657

申请日：2020-09-14

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sangil Jung ,  Dongwook Lee ,  Jinwoo Son ,  Changyong Son ,  Jaehyoung Yoo ,  Seohyung Lee ,  Changin Choi ,  Jaejoon Han

IPC: G06V10/28 ,  G06F18/214 ,  G06F18/24 ,  G06T3/4046 ,  G06V20/10

CPC classification number: G06V10/28 ,  G06F18/214 ,  G06F18/24 ,  G06T3/4046 ,  G06V20/10

Abstract: A system includes: an image sensor configured to acquire an image; an image processor configured to generate a quantized image based on the acquired image using a trained quantization filter; and an output interface configured to output the quantized image.

公开(公告)号：US12087096B2

公开(公告)日：2024-09-10

申请号：US17670028

申请日：2022-02-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jiwhan Kim ,  Kyuhong Kim ,  Sungun Park ,  Jaejoon Han

IPC: G06V40/40 ,  G06V10/82 ,  G06V40/13 ,  G06V40/16 ,  G06V40/18

CPC classification number: G06V40/40 ,  G06V10/82 ,  G06V40/1306 ,  G06V40/1318 ,  G06V40/16 ,  G06V40/18

Abstract: A method and apparatus with spoofing consideration is provided. The method includes implementing convolution block(s) of a machine learning model that determines whether biometric information in an input image is spoofed, including generating a feature map including channels for an input feature map for the input image using convolution layers of a convolution block of the convolution block(s), in response to a total number of input channels of the convolution block and a total number of output channels of the convolution block being different, matching the total number of input channels of the convolution block and the total number of output channels of the convolution block by adding a zero-padding channel to the input feature map using a skip connection structure, and generating output data for determining whether the biometric information is spoofed, dependent on the generated feature map and a result of the skip connection structure.

公开(公告)号：US11971924B2

公开(公告)日：2024-04-30

申请号：US17508001

申请日：2021-10-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Youngjun Kwak ,  Byung In Yoo ,  Youngsung Kim ,  Chang Kyu Choi ,  Jaejoon Han

IPC: G06K9/00 ,  G06F16/00 ,  G06F16/583 ,  G06F18/22 ,  G06F18/2413 ,  G06F21/32 ,  G06F21/62 ,  G06N3/02 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V40/16 ,  G06V40/40 ,  G06V40/50 ,  G06N3/045 ,  G06T7/60 ,  G06T7/70

CPC classification number: G06F16/583 ,  G06F16/00 ,  G06F18/22 ,  G06F18/24137 ,  G06F21/32 ,  G06F21/6218 ,  G06N3/02 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V40/161 ,  G06V40/168 ,  G06V40/45 ,  G06V40/50 ,  G06N3/045 ,  G06T7/60 ,  G06T7/70 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: A processor-implemented liveness test method includes detecting a face region in a query image, the query image including a test object for a liveness test, determining a liveness test condition to be applied to the test object among at least one liveness test condition for at least one registered user registered in a registration database, determining at least one test region in the query image based on the detected face region and the determined liveness test condition, obtaining feature data of the test object from image data of the determined at least one test region using a neural network-based feature extractor, and determining a result of the liveness test based on the obtained feature data and registered feature data registered in the registration database and corresponding to the determined liveness test condition.

公开(公告)号：US11915432B2

公开(公告)日：2024-02-27

申请号：US17146809

申请日：2021-01-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jingtao Xu ,  Jiaqian Yu ,  Byung In Yoo ,  Chang Kyu Choi ,  Hyunjeong Lee ,  Hangkai Tan ,  Jaejoon Han ,  Qiang Wang ,  Yiwei Chen

IPC: G06T7/246 ,  G06T7/73 ,  G06F18/241 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/64

CPC classification number: G06T7/248 ,  G06F18/241 ,  G06T7/73 ,  G06V10/25 ,  G06V10/764 ,  G06V10/82 ,  G06V20/64

Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.

公开(公告)号：US11887348B2

公开(公告)日：2024-01-30

申请号：US17341469

申请日：2021-06-08

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jiwon Baek ,  Seong-Jin Park ,  Seungju Han ,  Insoo Kim ,  Jaejoon Han

IPC: G06V40/16 ,  G06V10/24 ,  G06T7/73 ,  G06N3/08 ,  G06F18/214

CPC classification number: G06V10/242 ,  G06F18/214 ,  G06N3/08 ,  G06T7/73 ,  G06V40/171 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201

Abstract: A processor-implemented image processing method and apparatus are provided. The image processing method includes receiving an input image and rotation information associated with the input image, generating a feature vector of the input image based on pose information corresponding to the input image, generating an assistant feature vector which represents a target component according to a pose corresponding to the rotation information, based on the feature vector, the pose information, and the rotation information, and generating a target image which has the pose corresponding to the rotation information based on the feature vector and the assistant feature vector.