公开(公告)号：US11663728B2

公开(公告)日：2023-05-30

申请号：US17146752

申请日：2021-01-12

Applicant: Samsung Electronics Co., Ltd.

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

IPC: G06T7/50 ,  H01L27/146

CPC classification number: G06T7/50 ,  H01L27/14605 ,  G06T2207/10024

Abstract: A depth estimation method and apparatus are provided. The depth estimation method includes obtaining an image from an image sensor comprising upper pixels, each comprising N sub-pixels, obtaining N sub-images respectively corresponding to the N sub-pixels from the image, obtaining a viewpoint difference between the N sub-images using a first neural network, and obtaining a depth map of the image based on the viewpoint difference using a second neural network.

公开(公告)号：US11023757B2

公开(公告)日：2021-06-01

申请号：US16268792

申请日：2019-02-06

Applicant: Samsung Electronics Co., Ltd.

Inventor： SungUn Park ,  Hyeongwook Yang ,  Tushar Balasaheb Sandhan ,  Jiaqian Yu ,  Jingtao Xu ,  Youngjun Kwak ,  Juwoan Yoo ,  Jae Joon Han

IPC: G06K9/00 ,  G06K9/62

Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.

公开(公告)号：US10977509B2

公开(公告)日：2021-04-13

申请号：US15926161

申请日：2018-03-20

Applicant: SAMSUNG ELECTRONICS CO., LTD

Inventor： Hao Feng ,  Jae-Joon Han ,  Changkyu Choi ,  Chao Zhang ,  Jingtao Xu ,  Yanhu Shan ,  Yaozu An

IPC: G06K9/32 ,  G06T7/73 ,  G06T3/40 ,  G06T7/00 ,  G06K9/00 ,  G06K9/03 ,  G06K9/62 ,  G06K9/46

Abstract: An image processing method implemented by a processor includes receiving an image, acquiring a target image that includes an object from the image, calculating an evaluation score by evaluating a quality of the target image, and detecting the object from the target image based on the evaluation score.