公开(公告)号：US11687779B2

公开(公告)日：2023-06-27

申请号：US17208611

申请日：2021-03-22

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

Inventor： Zhizhi Guo ,  Yipeng Sun ,  Jingtuo Liu ,  Junyu Han

IPC: G06N3/08 ,  G06N3/04 ,  G06V40/16 ,  G06F18/10 ,  G06F18/25 ,  G06V10/80 ,  G06V10/52

CPC classification number: G06N3/08 ,  G06F18/10 ,  G06F18/253 ,  G06N3/04 ,  G06V10/52 ,  G06V10/806 ,  G06V40/171 ,  G06V40/172

Abstract: An image recognition method is provided, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. An implementation includes: performing five-sense-organ recognition on a preprocessed human face image and marking positions of the human facial five sense organs in the human face image, to obtain the marked human face image; determining human face images at multiple scales of the marked human face image, inputting the human face images of multiple scales into a backbone network model, and performing feature extraction, to obtain a wrinkle feature of the human face image at each of the multiple scales; and fusing the wrinkle feature at each scale that is located in a same area of the human face image, to obtain a wrinkle recognition result of the human face image.

公开(公告)号：US20210209344A1

公开(公告)日：2021-07-08

申请号：US17208611

申请日：2021-03-22

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

Inventor： Zhizhi Guo ,  Yipeng Sun ,  Jingtuo Liu ,  Junyu Han

IPC: G06K9/00 ,  G06K9/62 ,  G06N3/04

Abstract: An image recognition method is provided, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. An implementation includes: performing five-sense-organ recognition on a preprocessed human face image and marking positions of the human facial five sense organs in the human face image, to obtain the marked human face image; determining human face images at multiple scales of the marked human face image, inputting the human face images of multiple scales into a backbone network model, and performing feature extraction, to obtain a wrinkle feature of the human face image at each of the multiple scales; and fusing the wrinkle feature at each scale that is located in a same area of the human face image, to obtain a wrinkle recognition result of the human face image

公开(公告)号：US11417056B2

公开(公告)日：2022-08-16

申请号：US17304295

申请日：2021-06-17

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Borong Liang ,  Zhibin Hong ,  Zhizhi Guo

IPC: G06T17/00 ,  G06T7/80 ,  G06T7/55

Abstract: A method, an apparatus, a device and a storage medium for three-dimensional reconstruction are provided. The method may include: acquiring a sequence of RGBD images of a target; determining a set of first three-dimensional key points of the target on each RGBD image for the each RGBD image in the sequence of the RGBD images; transferring the set of the first three-dimensional key points to a camera coordinate system to obtain a set of second three-dimensional key points of the target in the camera coordinate system; calculating an Euler angle of the each RGBD image based on the set of the second three-dimensional key points; selecting an RGBD image based on the Euler angle; and performing three-dimensional reconstruction of the target based on the selected RGBD image to obtain a three-dimensional model of the target.

公开(公告)号：US20210209343A1

公开(公告)日：2021-07-08

申请号：US17208568

申请日：2021-03-22

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

Inventor： Zhizhi Guo ,  Yipeng Sun ,  Jingtuo Liu ,  Junyu Han

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

Abstract: The present application discloses an image recognition method, apparatus, device, and a computer storage medium, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. The method includes: performing organ recognition on a human face image and marking positions of the human facial five sense organs in the human face image, obtaining a marked human face image; inputting the marked human face image into a backbone network model and performing feature extraction, obtaining defect features of the marked human face image outputted by different convolutional neural network levels of the backbone network model; and fusing the defect features of different levels that are located in a same area of the human face image, obtaining a defect recognition result of the human face image.

公开(公告)号：US11756332B2

公开(公告)日：2023-09-12

申请号：US17208568

申请日：2021-03-22

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

Inventor： Zhizhi Guo ,  Yipeng Sun ,  Jingtuo Liu ,  Junyu Han

IPC: G06V40/10 ,  G06V40/16 ,  G06N3/08 ,  G06F18/10 ,  G06F18/20 ,  G06N3/045 ,  G06V10/764 ,  G06V10/80 ,  G06V10/82

CPC classification number: G06V40/171 ,  G06F18/10 ,  G06F18/29 ,  G06N3/045 ,  G06N3/08 ,  G06V10/764 ,  G06V10/806 ,  G06V10/82

Abstract: The present application discloses an image recognition method, apparatus, device, and a computer storage medium, which is related to a technical field of artificial intelligence, and in particular, to a technical field of image processing. The method includes: performing organ recognition on a human face image and marking positions of the human facial five sense organs in the human face image, obtaining a marked human face image; inputting the marked human face image into a backbone network model and performing feature extraction, obtaining defect features of the marked human face image outputted by different convolutional neural network levels of the backbone network model; and fusing the defect features of different levels that are located in a same area of the human face image, obtaining a defect recognition result of the human face image.