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1.
公开(公告)号:US20170262972A1
公开(公告)日:2017-09-14
申请号:US15116919
申请日:2016-03-25
Applicant: INTEL CORPORATION
Inventor: ROBERT ADAMS , BRADLEY JACKSON , IGNACIO J. ALVAREZ , SRIDHAR UYYALA , DEEPAK S. VEMBAR
CPC classification number: G06T7/0002 , G06T7/187 , G06T7/55 , G06T15/08 , G06T2207/10004 , G06T2207/10028 , G06T2207/10032 , G06T2207/10048 , G06T2215/16 , H04N13/20
Abstract: A mechanism is described for facilitating generation of voxel representations and assignment of trust metrics according to one embodiment. A method of embodiments, as described herein, includes detecting, by a computing device, a plurality of data sources hosting image capturing devices capable of capturing images of objects in a space, where the images are capable of being received by the computing device. The method may further include tagging trust metrics to the images based on credibility of the plurality of data sources, where a trust metrics to indicate veracity of a corresponding image. The method may further include aggregating the images into an aggregated image representation, and generating a voxel representation of the aggregated image representation such that the images are presented as voxel images, where veracities of the voxel images are secured based on tagging of the trust metrics to their corresponding images.
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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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3.
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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5.
公开(公告)号:US20160134609A1
公开(公告)日:2016-05-12
申请号:US14536900
申请日:2014-11-10
Applicant: Intel Corporation
Inventor: LENITRA M. DURHAM , DEEPAK S. VEMBAR , JOHN C. WEAST , CORY J. BOOTH
IPC: H04L29/06
CPC classification number: H04L63/08 , H04L9/088 , H04L9/3231 , H04L63/0861 , H04L63/105
Abstract: The present application is directed to user authentication confidence based on multiple devices. A user may possess at least one device. The device may determine a device confidence level that the identity of the user is authentic based on at least data collected by a data collection module in the device. For example, a confidence module in the device may receive the data from the data collection module, determine a quality corresponding to the data and determine the device confidence level based on the quality. If the user possesses two or more devices, at least one of the devices may collect device confidence levels from other devices to determine a total confidence level. For example, a device may authenticate the other devices and then receive device confidence levels for use in determining the total confidence level, which may be used to set an operational mode in a device or system.
Abstract translation: 本申请涉及基于多个设备的用户认证置信度。 用户可以拥有至少一个设备。 该设备可以至少基于由设备中的数据收集模块收集的数据来确定用户的身份是真实的设备置信度。 例如,设备中的置信模块可以从数据收集模块接收数据,确定与数据相对应的质量,并基于质量确定设备置信度。 如果用户拥有两个或更多个设备,则至少一个设备可以从其他设备收集设备置信水平以确定总置信水平。 例如,设备可以认证其他设备,然后接收设备置信水平,以用于确定总置信水平,其可用于设置设备或系统中的操作模式。
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