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Video conferencing system

專利號
US11528451B2
公開日期
2022-12-13
申請人
Eyecon AS(NO Stavanger)
發(fā)明人
Jan Ove Haaland; Eivind Nag; Joar Vaage
IPC分類
H04N7/15; G06T7/00; G06T17/20
技術(shù)領(lǐng)域
video,camera,data,sensor,or,image,virtual,in,e.g,cameras
地域: Stavanger

摘要

A method of capturing data for use in a video conference includes capturing data of a first party at a first location using an array of one or more video cameras and/or one or more sensors. The three-dimensional position(s) of one or more features represented in the data captured by the video camera(s) and/or sensor(s) are determined. A virtual camera positioned at a three-dimensional virtual camera position is defined. The three-dimensional position(s) determined for the feature(s) are transformed into a common coordinate system to form a single view of the feature(s) as appearing to have been captured from the virtual camera. The video image and/or sensor data of the feature(s) viewed from the perspective of the virtual camera and/or data representative of the transformed three-dimensional position(s) of the feature(s) are then transmitted or stored.

說明書

The depth component of the three-dimensional positions of the features is preferably determined by determining the displacement between (e.g. by triangulating the positions of) the features using the video image data and/or the other sensor data from the array of video camera(s) and/or sensor(s), or by using other methods to determine the depth component. For example, features with less distance between them may be determined to have a greater depth than features with greater distance between them (e.g. for video camera(s) and/or sensor(s) that have axes which are parallel or otherwise aligned), e.g. exploiting the perspective in the captured data. Thus preferably the method comprises (and the processing circuitry is configured to) determining the depth component of the three-dimensional position(s) of the feature(s), e.g. using the two-dimensional (e.g. x-y) distance between features in the video image data and/or the other sensor data. Determining the three-dimensional positions of the features in the video image data and/or the sensor data enables a depth to be assigned to each of the features (e.g. along with their two-dimensional position in the frames of video image data). The three-dimensional positions may be stored as a depth map, a 3D point cloud, a 3D mesh or a depth buffer, for example.

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