公开(公告)号：US20240257557A1

公开(公告)日：2024-08-01

申请号：US18161628

申请日：2023-01-30

Applicant: QUALCOMM Incorporated

Inventor： Peng LIU ,  Lei WANG ,  Ning BI ,  Zhen WANG ,  Shiwei JIN

IPC: G06V40/16 ,  G06V10/774 ,  G06V10/82 ,  G06V40/50

CPC classification number: G06V40/176 ,  G06V10/774 ,  G06V10/82 ,  G06V40/50

Abstract: System and techniques are described herein for processing images to detect expressions of a subject. In one illustrative example, a method of recognizing facial expressions in one or more images includes obtaining, by a computing device, a first image of a person; obtaining expression information based on the first image and an anchor image associated with the person; and determining an expression classification associated with the first image based on the expression information.

公开(公告)号：US20250131647A1

公开(公告)日：2025-04-24

申请号：US18444337

申请日：2024-02-16

Applicant: QUALCOMM Incorporated

Inventor： Chinmay TALEGAONKAR ,  Peng LIU ,  Lei WANG ,  Junkang ZHANG ,  Ning BI

IPC: G06T17/00 ,  G06T3/18 ,  G06T7/73

Abstract: Systems and techniques are disclosed for generating a three-dimensional (3D) model. For example, a process can include estimating a plurality of features associated with at least a portion of images; inverse warping the plurality of features into reference pose features having a reference pose; generating filtered reference pose features by selecting features from the reference pose features based on a distance of the selected features from corresponding features from the reference pose; generating modified reference pose features by modifying the filtered reference pose features based on a feature grid associated with a reference model associated with the reference pose; projecting the filtered reference pose features into one or more two dimensional (2D) planes; identifying first features associated with the person from the one or more 2D planes; and generating a 3D model of the person having a pose using the first features, the modified reference pose features, and pose information.

公开(公告)号：US20210390789A1

公开(公告)日：2021-12-16

申请号：US17109045

申请日：2020-12-01

Applicant: QUALCOMM Incorporated

Inventor： Peng LIU ,  Lei WANG ,  Zhen WANG ,  Ke-Li CHENG ,  Ning BI

IPC: G06T19/20 ,  G06K9/00 ,  G06T17/20 ,  G06T7/70 ,  G06T7/50 ,  G06T11/00 ,  G06K9/62

Abstract: Systems and techniques are provided for facial image augmentation. An example method can include obtaining a first image capturing a face. Using the first image, the method can determine, using a prediction model, a UV face position map including a two-dimensional (2D) representation of a three-dimensional (3D) structure of the face. The method can generate, based on the UV face position map, a 3D model of the face. The method can generate an extended 3D model of the face by extending the 3D model to include region(s) beyond a boundary of the 3D model. The region(s) can include a forehead region, a region surrounding at least a portion of the face, and/or other region. The method can generate, based on the extended 3D model, a second image depicting the face in a rotated position relative to a position of the face in the first image.

公开(公告)号：US20220269879A1

公开(公告)日：2022-08-25

申请号：US17185811

申请日：2021-02-25

Applicant: QUALCOMM Incorporated

Inventor： Peng LIU ,  Lei WANG ,  Kuang-Man HUANG ,  Michel Adib SARKIS ,  Ning BI

IPC: G06K9/00 ,  G06N3/08 ,  G06K9/62

Abstract: Systems and techniques are provided for facial expression recognition. In some examples, a system receives an image frame corresponding to a face of a person. The system also determines, based on a three-dimensional model of the face, landmark feature information associated with landmark features of the face. The system then inputs, to at least one layer of a neural network trained for facial expression recognition, the image frame and the landmark feature information. The system further determines, using the neural network, a facial expression associated with the face.