公开(公告)号：US20210319251A1

公开(公告)日：2021-10-14

申请号：US17355368

申请日：2021-06-23

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Shengzhao Wen

IPC: G06K9/46 ,  G06K9/62 ,  G06K9/00 ,  G06T7/55 ,  G06T7/33

Abstract: Provided are a method for processing multimodal images, an apparatus, a device and a storage medium. Multiple types of vision sensors are disposed in first preset identity recognition scenario. The method includes: if it is determined that a first vision sensor detects a biometric part of a target object, controlling each vision sensor to separately perform image acquisition for the biometric part in accordance with a preset acquisition strategy to obtain a target visual image of corresponding type and acquisition time information of the target visual image; performing identity recognition for the target object according to first target visual image to determine object identification information corresponding to first target visual image; determining object identification information corresponding to a target visual image of other type other than first target visual image according to acquisition time information of each target visual image and object identification information corresponding to first target visual image.

公开(公告)号：US11600057B2

公开(公告)日：2023-03-07

申请号：US17355368

申请日：2021-06-23

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Shengzhao Wen

IPC: G06K9/46 ,  G06V10/44 ,  G06T7/55 ,  G06T7/33 ,  G06K9/62 ,  G06V40/16 ,  G06V40/18 ,  G06V40/12

Abstract: Provided are a method for processing multimodal images, an apparatus, a device and a storage medium. Multiple types of vision sensors are disposed in first preset identity recognition scenario. The method includes: if it is determined that a first vision sensor detects a biometric part of a target object, controlling each vision sensor to separately perform image acquisition for the biometric part in accordance with a preset acquisition strategy to obtain a target visual image of corresponding type and acquisition time information of the target visual image; performing identity recognition for the target object according to first target visual image to determine object identification information corresponding to first target visual image; determining object identification information corresponding to a target visual image of other type other than first target visual image according to acquisition time information of each target visual image and object identification information corresponding to first target visual image.