公开(公告)号：US20220301342A1

公开(公告)日：2022-09-22

申请号：US17695241

申请日：2022-03-15

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hui LI ,  Jiguang XUE ,  Jaejoon HAN ,  Seon Min RHEE ,  Seungju HAN

IPC: G06V40/16 ,  G06T7/246

Abstract: A method with face recognition includes: determining a first global feature of a first face image and a first global feature of a second face image based on a local feature of the first face image and a local feature of the second face image, respectively; determining a final global feature of the first face image based on the first global feature of the first face image and a second global feature of the first face image; determining a final global feature of the second face image based on the first global feature and a second global feature of the second face image; and recognizing the first face image and the second face image based on the final global feature of the first face image and the final global feature of the second face image, wherein the second global feature of the first face image is determined based on the local feature of the first face image, and the second global feature of the second face image is determined based on the local feature of the second face image.

公开(公告)号：US20210035325A1

公开(公告)日：2021-02-04

申请号：US16943048

申请日：2020-07-30

Applicant: Samsung Electronics Co., Ltd.

Inventor： Huiguang YANG ,  Jiguang XUE ,  Zhuo LI ,  Chuangqi TANG ,  Xiongzhan LINGHU ,  Yuguang LI ,  Liu YANG ,  Jian ZHAO ,  Manjun YAN

IPC: G06T7/73

Abstract: A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.