公开(公告)号：US11514602B2

公开(公告)日：2022-11-29

申请号：US16722304

申请日：2019-12-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Tianchu Guo ,  Hui Zhang ,  Xiabing Liu ,  Chang Kyu Choi ,  Jaejoon Han ,  Yongchao Liu

IPC: G06T7/73 ,  G06K9/62 ,  G06V40/16

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.

公开(公告)号：US12014529B2

公开(公告)日：2024-06-18

申请号：US17153018

申请日：2021-01-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Tianchu Guo ,  Hui Zhang ,  Xiabing Liu ,  ByungIn Yoo ,  ChangKyu Choi ,  Jaejoon Han ,  YoungJun Kwak ,  Yongchao Liu

IPC: G06V10/40 ,  G06N3/08 ,  G06T3/10 ,  G06T5/50 ,  G06V10/80 ,  G06V10/82 ,  G06V40/16 ,  G06V40/18

CPC classification number: G06V10/40 ,  G06N3/08 ,  G06T3/10 ,  G06T5/50 ,  G06V10/809 ,  G06V10/82 ,  G06V40/168 ,  G06V40/193

Abstract: An image processing method and apparatus using a neural network are provided. The image processing method includes generating a plurality of augmented features by augmenting an input feature, and generating a prediction result based on the plurality of augmented features.

公开(公告)号：US11113842B2

公开(公告)日：2021-09-07

申请号：US16722221

申请日：2019-12-20

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xiabing Liu ,  Hui Zhang ,  Jae-Joon Han ,  Changkyu Choi ,  Tianchu Guo

IPC: G06T7/73

Abstract: A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.

公开(公告)号：US11747898B2

公开(公告)日：2023-09-05

申请号：US17394653

申请日：2021-08-05

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xiabing Liu ,  Hui Zhang ,  Jae-Joon Han ,  Changkyu Choi ,  Tianchu Guo

IPC: G06V10/82 ,  G06F3/01 ,  G06T7/73 ,  G06V10/764 ,  G06V40/18 ,  G06V20/20

CPC classification number: G06F3/013 ,  G06T7/74 ,  G06V10/764 ,  G06V10/82 ,  G06V40/18 ,  G06T2207/20021 ,  G06T2207/20076 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30201 ,  G06V20/20

Abstract: A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.

公开(公告)号：US11347308B2

公开(公告)日：2022-05-31

申请号：US16937722

申请日：2020-07-24

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yongchao Liu ,  Hui Zhang ,  Xiabing Liu ,  Byung In Yoo ,  Chang Kyu Choi ,  Jaejoon Han ,  Youngjun Kwak ,  Tianchu Guo

IPC: G06F3/01 ,  G06N3/08 ,  G06F3/14 ,  G06K9/62 ,  G06V40/16

Abstract: A gaze tracking method and apparatus, and a gaze tracking neural network training method and apparatus are provided. The gaze tracking apparatus includes one or more processors and a memory, and the one or more processors obtain output position information from an input face image of a user using a neural network model, determines a position adjustment parameter for the user, and predicts gaze position information of the user by adjusting the output position information based on the position adjustment parameter.

公开(公告)号：US20210366152A1

公开(公告)日：2021-11-25

申请号：US17394653

申请日：2021-08-05

Applicant: Samsung Electronics Co., Ltd.

Inventor： Xiabing Liu ,  Hui Zhang ,  Jae-Joon Han ,  Changkyu Choi ,  Tianchu Guo

IPC: G06T7/73

Abstract: A gaze estimation method and apparatus is disclosed. The gaze estimation method includes obtaining an image including an eye region of a user, extracting, from the obtained image, a first feature of data, obtaining a second feature of data used for calibration of a neural network model, and estimating a gaze of the user using the first feature and the second feature.