Object reconstruction using media data

    公开(公告)号:US11354860B1

    公开(公告)日:2022-06-07

    申请号:US17158909

    申请日:2021-01-26

    Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include generating a three-dimensional (3D) model of a first portion of an object based on one or more frames depicting the object. The process can also include generating a mask for the one or more frames, the mask including an indication of one or more of regions of the object. The process can further include generating a 3D base model based on the 3D model of the first portion of the object and the mask, the 3D base model representing the first portion of the object and a second portion of the object. The process can include generating, based on the mask and the 3D base model, a 3D model of the second portion of the object.

    Systems and methods for reconstructing a moving three-dimensional object

    公开(公告)号:US10740986B2

    公开(公告)日:2020-08-11

    申请号:US16118237

    申请日:2018-08-30

    Abstract: A method performed by an electronic device is described. The method includes receiving a set of frames. The set of frames describes a moving three-dimensional (3D) object. The method also includes registering the set of frames based on a canonical model. The canonical model includes geometric information and optical information. The method additionally includes fusing frame information of each frame to the canonical model based on the registration. The method further includes reconstructing the 3D object based on the canonical model.

    SYSTEMS AND METHODS FOR OUTLIER EDGE REJECTION

    公开(公告)号:US20190213787A1

    公开(公告)日:2019-07-11

    申请号:US15863434

    申请日:2018-01-05

    CPC classification number: G06T17/20 G06T7/13 G06T15/40

    Abstract: A method performed by an electronic device is described. The method includes incrementally adding a current node to a graph. The method also includes incrementally determining a respective adaptive edge threshold for each candidate edge between the current node and one or more candidate neighbor nodes. The method further includes determining whether to accept or reject each candidate edge based on each respective adaptive edge threshold. The method additionally includes performing refining based on the graph to produce refined data. The method also includes producing a three-dimensional (3D) model based on the refined data.

    SYSTEMS AND METHODS FOR ILLUMINANT-INVARIANT MODEL ESTIMATION

    公开(公告)号:US20190156515A1

    公开(公告)日:2019-05-23

    申请号:US15990469

    申请日:2018-05-25

    Abstract: A method is described. The method includes determining normalized radiance of an image sequence based on a camera response function (CRF). The method also includes determining one or more reliability images of the image sequence based on a reliability function corresponding to the CRF. The method further includes extracting features based on the normalized radiance of the image sequence. The method additionally includes optimizing a model based on the extracted features and the reliability images.

    Object reconstruction using media data

    公开(公告)号:US12062130B2

    公开(公告)日:2024-08-13

    申请号:US17403656

    申请日:2021-08-16

    CPC classification number: G06T17/00 G06T13/40 G06T19/20 G06T2219/2004

    Abstract: Systems and techniques are provided for performing video-based activity recognition. For example, a process can include generating a three-dimensional (3D) model of a first portion of an object based on one or more frames depicting the object. The process can also include generating a mask for the one or more frames, the mask including an indication of one or more regions of the object. The process can further include generating a 3D base model based on the 3D model of the first portion of the object and the mask, the 3D base model representing the first portion of the object and a second portion of the object. The process can include generating, based on the mask and the 3D base model, a 3D model of the second portion of the object.

    Systems and methods for reconstructing a three-dimensional object

    公开(公告)号:US11158119B2

    公开(公告)日:2021-10-26

    申请号:US16738982

    申请日:2020-01-09

    Abstract: A method performed by an electronic device is described. The method includes receiving first optical data and first depth data corresponding to a first frame. The method also includes registering the first depth data to a first canonical model. The method further includes fitting a three-dimensional (3D) morphable model to the first optical data. The method additionally includes registering the 3D morphable model to a second canonical model. The method also includes producing a 3D object reconstruction based on the registered first depth data and the registered 3D morphable model.

    SYSTEMS AND METHODS FOR RECONSTRUCTING A THREE-DIMENSIONAL OBJECT

    公开(公告)号:US20210217228A1

    公开(公告)日:2021-07-15

    申请号:US16738982

    申请日:2020-01-09

    Abstract: A method performed by an electronic device is described. The method includes receiving first optical data and first depth data corresponding to a first frame. The method also includes registering the first depth data to a first canonical model. The method further includes fitting a three-dimensional (3D) morphable model to the first optical data. The method additionally includes registering the 3D morphable model to a second canonical model. The method also includes producing a 3D object reconstruction based on the registered first depth data and the registered 3D morphable model.

    SYSTEMS AND METHODS FOR RECONSTRUCTING A MOVING THREE-DIMENSIONAL OBJECT

    公开(公告)号:US20200074747A1

    公开(公告)日:2020-03-05

    申请号:US16118237

    申请日:2018-08-30

    Abstract: A method performed by an electronic device is described. The method includes receiving a set of frames. The set of frames describes a moving three-dimensional (3D) object. The method also includes registering the set of frames based on a canonical model. The canonical model includes geometric information and optical information. The method additionally includes fusing frame information of each frame to the canonical model based on the registration. The method further includes reconstructing the 3D object based on the canonical model.

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