Apparatus and methods for image reconstruction using machine learning processes

    公开(公告)号:US12112433B2

    公开(公告)日:2024-10-08

    申请号:US17714743

    申请日:2022-04-06

    CPC classification number: G06T17/20 G06N3/045 G06V10/235

    Abstract: Methods, systems, and apparatuses are provided to automatically reconstruct an image, such as a 3D image. For example, a computing device may obtain an image, and may apply a first trained machine learning process to the image to generate coefficient values characterizing the image in a plurality of dimensions. Further, the computing device may generate a mesh based on the coefficient values. The computing device may apply a second trained machine learning process to the coefficient values and the image to generate a displacement map. Based on the mesh and the displacement map, the computing device may generate output data characterizing an aligned mesh. The computing device may store the output data within a data repository. In some examples, the computing device provides the output data for display.

    Adaptive bounding for three-dimensional morphable models

    公开(公告)号:US11977979B2

    公开(公告)日:2024-05-07

    申请号:US17384522

    申请日:2021-07-23

    CPC classification number: G06N3/08 G06T17/00 G06V40/174 G06T2210/44

    Abstract: Systems and techniques are provided for generating one or more models. For example, a process can include obtaining a plurality of input images corresponding to faces of one or more people during a training interval. The process can include determining a value of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval. The process can include determining, from the determined values of the coefficient representing at least the portion of the facial expression for each of the plurality of input images during the training interval, an extremum value of the coefficient representing at least the portion of the facial expression during the training interval. The process can include generating an updated bounding value for the coefficient representing at least the portion of the facial expression based on the initial bounding value and the extremum value.

    Facial expression recognition
    7.
    发明授权

    公开(公告)号:US11756334B2

    公开(公告)日:2023-09-12

    申请号:US17185811

    申请日:2021-02-25

    CPC classification number: G06V40/174 G06F18/214 G06N3/08 G06V40/171

    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.

    Object scanning using planar segmentation

    公开(公告)号:US11361508B2

    公开(公告)日:2022-06-14

    申请号:US16998975

    申请日:2020-08-20

    Abstract: Techniques are provided for generating three-dimensional models of objects from one or more images or frames. For example, at least one frame of an object in a scene can be obtained. A portion of the object is positioned on a plane in the at least one frame. The plane can be detected in the at least one frame and, based on the detected plane, the object can be segmented from the plane in the at least one frame. A three-dimensional (3D) model of the object can be generated based on segmenting the object from the plane. A refined mesh can be generated for a portion of the 3D model corresponding to the portion of the object positioned on the plane.

    Depth image based face anti-spoofing

    公开(公告)号:US10956719B2

    公开(公告)日:2021-03-23

    申请号:US16206832

    申请日:2018-11-30

    Abstract: Methods, systems, and devices for image processing are described. The method may include identifying a face in a first image based on identifying one or more biometric features of the face, determining an angular direction of one or more pixels of the identified face, identifying an anchor point on the identified face, sorting each of one or more pixels of the identified face into one of a set of pixel bins based on a combination of the determined angular direction of the pixel and a distance between the pixel and the identified anchor point, and outputting an indication of authenticity associated with the face based on a number of pixels in each bin.

    DEPTH IMAGE BASED FACE ANTI-SPOOFING
    10.
    发明申请

    公开(公告)号:US20200175260A1

    公开(公告)日:2020-06-04

    申请号:US16206832

    申请日:2018-11-30

    Abstract: Methods, systems, and devices for image processing are described. The method may include identifying a face in a first image based on identifying one or more biometric features of the face, determining an angular direction of one or more pixels of the identified face, identifying an anchor point on the identified face, sorting each of one or more pixels of the identified face into one of a set of pixel bins based on a combination of the determined angular direction of the pixel and a distance between the pixel and the identified anchor point, and outputting an indication of authenticity associated with the face based on a number of pixels in each bin.

Patent Agency Ranking