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公开(公告)号:US20180253894A1
公开(公告)日:2018-09-06
申请号:US15771750
申请日:2016-11-02
Applicant: INTEL CORPORATION
Inventor: RANGANATH KRISHNAN , DEEPAK S. VEMBAR , ROBERT ADAMS , BRADLEY A. JACKSON
CPC classification number: G06T17/00 , G06T7/564 , G06T15/04 , G06T15/08 , G06T2200/08 , G06T2210/52
Abstract: Techniques are provided for 3D model reconstruction of dynamic scenes using hybrid foreground-background processing. A methodology implementing the techniques according to an embodiment includes receiving multiple static images of a scene. Each static image is generated by a static camera, positioned at a fixed location and oriented at a fixed viewing angle. The method also includes receiving multiple dynamic images of the scene, each dynamic image generated by a movable camera. The method further includes performing 3D reconstruction of the scene foreground, based on the static images, and performing 3D reconstruction of the scene background, based on the static images and the dynamic images. The method further includes superimposing the reconstructed 3D foreground and 3D background, with alignment based on calibration parameters (e.g., focal length, principal point, rotation, or translation) of the static and movable cameras, to provide a hybrid 3D reconstruction of the scene for 3D rendering.
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公开(公告)号:US20180240244A1
公开(公告)日:2018-08-23
申请号:US15772741
申请日:2016-11-04
Applicant: INTEL CORPORATION
Inventor: SRIDHAR UYYALA , IGNACIO J. ALVAREZ , BRADLEY A. JACKSON , DEEPAK S. VEMBAR
CPC classification number: G06T7/215 , G06K9/00201 , G06K9/00268 , G06K9/6262 , G06K2209/40 , G06T1/20 , G06T13/40 , G06T17/10 , G06T17/20
Abstract: Techniques for high-fidelity three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; generating, by the processor, the set of voxels from the image data on a frame-by-frame basis; reconstructing, by the processor, surfaces from the set of voxels to generate low-fidelity mesh data; identifying, by the processor, performers in the scene from the image data; obtaining, by the processor, high-fidelity mesh data corresponding to the identified performers; and merging, by the processor, the low-fidelity mesh data with the high-fidelity mesh data to generate high-fidelity 3D output. The identifying of the performers includes: segmenting, by the processor, the image data into objects; and classifying, by the processor, those of the objects representing the performers.
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公开(公告)号:US20190213789A1
公开(公告)日:2019-07-11
申请号:US15772740
申请日:2016-11-04
Applicant: INTEL CORPORATION
Inventor: SRIDHAR UYYALA , BRADLEY A. JACKSON , IGNACIO J. ALVAREZ , DEEPAK S. VEMBAR
CPC classification number: G06T17/205 , G06T7/215 , G06T7/292 , G06T7/55 , G06T15/005 , G06T15/08 , G06T17/005 , G06T2207/20072 , G06T2207/20081 , G06T2210/08
Abstract: Techniques for three-dimensional (3D) reconstruction of a dynamic scene as a set of voxels are provided. One technique includes: receiving, by a processor, image data from each of two or more spatially-separated sensors observing the scene from a corresponding two or more vantage points; fusing, by the processor, the image data into the set of voxels on a frame-by-frame basis; segmenting, by the processor, the image data into objects that constitute the scene; detecting, by the processor, which of the objects remain static from frame to frame, remaining ones of the objects being dynamic; filtering, by the processor, the set of voxels to remove those of the voxels corresponding to the static objects, to produce a dynamic subset of the voxels; and outputting, by the processor to a display device, those of the voxels corresponding to the dynamic objects (such as the dynamic subset) and not to the static objects.
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