公开(公告)号：US20220303455A1

公开(公告)日：2022-09-22

申请号：US17407463

申请日：2021-08-20

Applicant: SAMSUNG ELECTRONICS CO., LTD

Inventor： Seungin PARK ,  Jinwoo SON ,  Changyong SON ,  Byung In YOO ,  Sangil JUNG

IPC: H04N5/232 ,  G06T7/246

Abstract: An image sensor includes: a motion detection circuit configured to detect a motion in image frames; and a micro control unit (MCU) configured to adjust at least a portion of a target frame among the image frames based on whether the motion is detected, and detect whether a target object is present based on the adjusted portion of the target frame.

公开(公告)号：US20220188961A1

公开(公告)日：2022-06-16

申请号：US17683452

申请日：2022-03-01

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sangil JUNG ,  Changyong SON ,  Jinwoo SON ,  Jaehyoung YOO ,  Changin CHOI ,  Jaejoon HAN

IPC: G06T1/00 ,  G06T1/60 ,  G06T5/20

Abstract: Disclosed are an image data processing method and a sensor device performing the same. The sensor device includes an image sensor configured to acquire image data, an image buffer configured to store the image data, and an image processor configured to generate image-processed data by applying a filter corresponding to a storage pattern of the image buffer to the image data stored in the image buffer.

公开(公告)号：US20220172510A1

公开(公告)日：2022-06-02

申请号：US17677275

申请日：2022-02-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Wonsuk CHANG ,  Deoksang KIM ,  Dae-Kyu SHIN ,  Byungin YOO ,  Seungju HAN ,  Jaejoon HAN ,  Jinwoo SON ,  Chang Kyu CHOI

IPC: G06V40/16 ,  G06K9/62 ,  G06V10/10 ,  G06V40/40

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.

公开(公告)号：US20210241408A1

公开(公告)日：2021-08-05

申请号：US16929197

申请日：2020-07-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Sangil JUNG ,  Changyong SON ,  Jinwoo SON ,  Jaehyoung YOO ,  Changin CHOI ,  Jaejoon HAN

IPC: G06T1/00 ,  G06T1/60 ,  G06T5/20

Abstract: Disclosed are an image data processing method and a sensor device performing the same. The sensor device includes an image sensor configured to acquire image data, an image buffer configured to store the image data, and an image processor configured to generate image-processed data by applying a filter corresponding to a storage pattern of the image buffer to the image data stored in the image buffer.

公开(公告)号：US20210049474A1

公开(公告)日：2021-02-18

申请号：US16856112

申请日：2020-04-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jinwoo SON ,  Changyong SON ,  Jaehyoung YOO ,  Seohyung LEE ,  Sangil JUNG ,  Changin CHOI ,  Jaejoon HAN

IPC: G06N3/08

Abstract: A processor-implemented data processing method and apparatus for a neural network is provided. The data processing method includes generating cumulative data by accumulating results of multiplication operations between at least a portion of input elements in an input plane and at least a portion of weight elements in a weight plane, and generating an output plane corresponding to an output channel among output planes of an output feature map respectively corresponding to output channels based on the generated cumulative data.

公开(公告)号：US20200372276A1

公开(公告)日：2020-11-26

申请号：US16991454

申请日：2020-08-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Jinwoo SON ,  Changyong SON ,  Chang Kyu CHOI ,  Jaejoon HAN

IPC: G06K9/00 ,  G06N3/04 ,  G06N3/063 ,  G06K9/62 ,  G06N3/08

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.

公开(公告)号：US20240152729A1

公开(公告)日：2024-05-09

申请号：US18413946

申请日：2024-01-16

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Jinwoo SON ,  Chang Kyu CHOI ,  Jaejoon HAN

IPC: G06N3/044 ,  G06N3/045 ,  G06N3/08

CPC classification number: G06N3/044 ,  G06N3/045 ,  G06N3/08 ,  G06N3/063

Abstract: A convolutional neural network (CNN) processing method includes selecting a survival network in a precision convolutional network based on a result of performing a high speed convolution operation between an input and a kernel using a high speed convolutional network, and performing a precision convolution operation between the input and the kernel using the survival network.

公开(公告)号：US20230326241A1

公开(公告)日：2023-10-12

申请号：US18333195

申请日：2023-06-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Wonsuk CHANG ,  Deoksang KIM ,  Dae-Kyu SHIN ,  Byungin YOO ,  Seungju HAN ,  Jaejoon HAN ,  Jinwoo SON ,  Chang Kyu CHOI

IPC: G06V40/16 ,  G06V40/40 ,  G06F18/22 ,  G06V10/74

CPC classification number: G06V40/167 ,  G06V40/171 ,  G06V40/45 ,  G06V40/161 ,  G06V40/172 ,  G06V40/174 ,  G06F18/22 ,  G06V10/761

Abstract: Disclosed is a face verification method and apparatus. A mobile device may include one or more processors configured to obtain one or more images for a user, ascertain whether any of the one or more images correspond to respective user distances, from the user to the mobile device, outside of a threshold range of distances, and selectively, based on a result of the ascertaining, perform verification using a first verification threshold for any of the one or more images ascertained to correspond to the respective user distances that are outside the threshold range of distances, and perform verification using a less strict second verification threshold for any of the one or more images that have been ascertained to not correspond to the respective user distances that are outside the threshold range of distances.

公开(公告)号：US20230282024A1

公开(公告)日：2023-09-07

申请号：US18197265

申请日：2023-05-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Seohyung LEE ,  Jaehyoung YOO ,  Jinwoo SON ,  Changyong SON ,  Sangil JUNG ,  Changin CHOI

IPC: G06V40/16

CPC classification number: G06V40/161

Abstract: Disclosed is a method and apparatus for face detection using an adaptive threshold. The method includes determining a detection box in an input image, calculating a confidence score indicating whether an object in the detection box corresponds to a face, setting an adaptive threshold based on a size of the detection box, and determining whether the object in the detection box corresponds to a face based on comparing the confidence score to the adaptive threshold.

公开(公告)号：US20230021306A9

公开(公告)日：2023-01-19

申请号：US17574408

申请日：2022-01-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Changyong SON ,  Jinwoo SON ,  Byungin YOO ,  Chang Kyu CHOI ,  Jae-Joon HAN

IPC: G06N3/08 ,  G06F5/01 ,  G06N3/063 ,  G06F7/523 ,  G06N3/04

Abstract: A lightened neural network method and apparatus. The neural network apparatus includes a processor configured to generate a neural network with a plurality of layers including plural nodes by applying lightened weighted connections between neighboring nodes in neighboring layers of the neural network to interpret input data applied to the neural network, wherein lightened weighted connections of at least one of the plurality of layers includes weighted connections that have values equal to zero for respective non-zero values whose absolute values are less than an absolute value of a non-zero value. The lightened weighted connections also include weighted connections that have values whose absolute values are no greater than an absolute value of another non-zero value, the lightened weighted connections being lightened weighted connections of trained final weighted connections of a trained neural network whose absolute maximum values are greater than the absolute value of the other non-zero value.