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公开(公告)号：US10482575B2
公开(公告)日：2019-11-19
申请号：US15719458
申请日：2017-09-28
Applicant: Intel Corporation
Inventor： Zhengmin Li , Atsuo Kuwahara , Deepak Vembar
Abstract: An apparatus and method for efficiently improving virtual/real interactions in augmented reality. For example, one embodiment of a method comprises: capturing a raw image including depth data; identifying one or more regions of interest based on a detected spatial proximity of one or more virtual objects and one or more real objects; generating a super-resolution map of the one or more regions of interest using machine-learning techniques or results thereof; detecting interactions between the virtual objects and the real objects using the super-resolution map; and performing one or more graphics processing or general purpose processing operations based on the detected interactions.
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公开(公告)号：US09954857B2
公开(公告)日：2018-04-24
申请号：US14357389
申请日：2013-12-19
Applicant: Intel Corporation
Inventor： Rachel Hinman , Aleksander Magi , Glen J. Anderson , Ana Rosario , Ryan Scott Brotman , Cory J. Booth , Giuseppe Raffa , Jamie Sherman , Philip A. Muse , Jonathan J. Huang , Deepak Vembar
IPC: H04W12/08 , H04L29/06 , G06K19/077 , G06Q30/02
CPC classification number: H04L63/0853 , G06K19/07762 , G06Q30/02 , H04L63/105 , H04W4/21 , H04W12/08
Abstract: A system and method for controlling access to a digital asset. A first host device is provided to a first host device owner and rights are determined to a digital asset. A digital charm is selected, wherein selecting includes granting to the digital charm certain rights to the digital asset. The digital charm is attached to the first host device to form a charm system, wherein attaching includes conferring, to the first host device owner, the rights to the digital asset that were granted to the digital charm.
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公开(公告)号：US11138692B2
公开(公告)日：2021-10-05
申请号：US16685348
申请日：2019-11-15
Applicant: INTEL CORPORATION
Inventor： Zhengmin Li , Atsuo Kuwahara , Deepak Vembar
Abstract: An apparatus and method for efficiently improving virtual/real interactions in augmented reality. For example, one embodiment of a method comprises: capturing a raw image including depth data; identifying one or more regions of interest based on a detected spatial proximity of one or more virtual objects and one or more real objects; generating a super-resolution map of the one or more regions of interest using machine-learning techniques or results thereof; detecting interactions between the virtual objects and the real objects using the super-resolution map; and performing one or more graphics processing or general purpose processing operations based on the detected interactions.
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公开(公告)号：US09886084B2
公开(公告)日：2018-02-06
申请号：US14538390
申请日：2014-11-11
Applicant: Intel Corporation
Inventor： Deepak Vembar , Glen J. Anderson , Lenitra M. Durham , Kathy Yuen , Ryan Scott Brotman , Giuseppe Raffa
Abstract: System and techniques for user input via elastic deformation of a material are described herein. The morphology of an elastic material may be observed with a sensor. The observations may include a first and a second morphological sample of the elastic material. The first and second morphological samples may be compared against each other to ascertain a variance. The variance may be filtered to produce an output. The output may be translated into a user input parameter. A device action corresponding to the user input parameter may be invoked.
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公开(公告)号：US09746941B2
公开(公告)日：2017-08-29
申请号：US14368734
申请日：2013-12-26
Applicant: Intel Corporation
Inventor： Giuseppe Raffa , Deepak Vembar , Glen J. Anderson , Ryan Scott Brotman , Jamie Sherman , Francisco Javier Fernandez
IPC: G06F3/0346 , G06F3/0487 , G06F1/16
CPC classification number: G06F3/0346 , G06F1/163 , G06F1/1694 , G06F3/0487 , G06F2200/1637
Abstract: Embodiments for providing a wearable device are generally described herein. A wearable device may include a processor having memory and communicatively coupled to a plurality of display areas; and an orientation sensing module communicatively coupled to the processor to determine at least one of an orientation and a location of at least one of the plurality of display areas with respect to a point of view of a user; wherein the processor provides a function for at least one of the plurality of display areas based on the determined at least one of the orientation and the location of at least one of the plurality of display areas by the orientation sensing module.
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Patent Agency Ranking
公开(公告)号：US20240311962A1
公开(公告)日：2024-09-19
申请号：US18308725
申请日：2023-04-28
Applicant: Intel Corporation
Inventor： Darshan R. Iyer , Deepak Vembar , Changliang Wang , Sumit Bhatia
CPC classification number: G06T3/4046 , G06T3/18 , G06T5/70 , G06T7/20
Abstract: Described herein are techniques to enhance the user experience for 3D rendered applications via neural frame generation using upsampled optical flow data. In one embodiment, a neural network is trained using both sparse optical flow data and dense optical flow data to enable neural frame generation to be performed by a deployed neural network using only sparse optical flow data. The sparse optical flow data can be upsampled to dense optical flow data by the trained neural network. The neural network can then use the upsampled dense optical flow data to perform frame generation.
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公开(公告)号：US11676322B2
公开(公告)日：2023-06-13
申请号：US17500631
申请日：2021-10-13
Applicant: Intel Corporation
Inventor： Hugues Labbe , Darrel Palke , Sherine Abdelhak , Jill Boyce , Varghese George , Scott Janus , Adam Lake , Zhijun Lei , Zhengmin Li , Mike Macpherson , Carl Marshall , Selvakumar Panneer , Prasoonkumar Surti , Karthik Veeramani , Deepak Vembar , Vallabhajosyula Srinivasa Somayazulu
Abstract: One embodiment provides for a graphics processor comprising a block of graphics compute units, a graphics processor pipeline coupled to the block of graphics compute units, and a programmable neural network unit including one or more neural network hardware blocks. The programmable neural network unit is coupled with the block of graphics compute units and the graphics processor pipeline. The one or more neural network hardware blocks include hardware to perform neural network operations and activation operations for a layer of a neural network. The programmable neural network unit can configure settings of one or more hardware blocks within the graphics processor pipeline based on a machine learning model trained to optimize performance of a set of workloads.
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公开(公告)号：US11557085B2
公开(公告)日：2023-01-17
申请号：US17112792
申请日：2020-12-04
Applicant: Intel Corporation
Inventor： Jill Boyce , Soethiha Soe , Selvakumar Panneer , Adam Lake , Nilesh Jain , Deepak Vembar , Glen J. Anderson , Varghese George , Carl Marshall , Scott Janus , Saurabh Tangri , Karthik Veeramani , Prasoonkumar Surti
Abstract: Embodiments are directed to neural network processing for multi-object three-dimensional (3D) modeling. An embodiment of a computer-readable storage medium includes executable computer program instructions for obtaining data from multiple cameras, the data including multiple images, and generating a 3D model for 3D imaging based at least in part on the data from the cameras, wherein generating the 3D model includes one or more of performing processing with a first neural network to determine temporal direction based at least in part on motion of one or more objects identified in an image of the multiple images or performing processing with a second neural network to determine semantic content information for an image of the multiple images.
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公开(公告)号：US10712834B2
公开(公告)日：2020-07-14
申请号：US15688268
申请日：2017-08-28
Applicant: Intel Corporation
Inventor： Giuseppe Raffa , Deepak Vembar , Glen J. Anderson , Ryan Scott Brotman , Jamie Sherman , Francisco Javier Fernandez
IPC: G06F3/0346 , G06F3/0487 , G06F1/16
Abstract: Embodiments for providing a wearable device are generally described herein. A wearable device may include a processor having memory and communicatively coupled to a plurality of display areas; and an orientation sensing module communicatively coupled to the processor to determine at least one of an orientation and a location of at least one of the plurality of display areas with respect to a point of view of a user; wherein the processor provides a function for at least one of the plurality of display areas based on the determined at least one of the orientation and the location of at least one of the plurality of display areas by the orientation sensing module.
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公开(公告)号：US20240303899A1
公开(公告)日：2024-09-12
申请号：US18179216
申请日：2023-03-06
Applicant: Intel Corporation
Inventor： Darshan R. Iyer , Deepak Vembar
CPC classification number: G06T15/005 , G06T3/18 , G06T3/4007 , G06T3/4046 , G06T7/20 , G06T9/002 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084 , G06T2210/52
Abstract: Described herein are techniques to enhance the user experience for 3D rendered applications via neural frame generation and neural supersampling. One embodiment provides a latency aware unified neural network for frame interpolation and extrapolation. This unified neural network merges interpolation and extrapolation networks into one generalized network that can be applied to both interpolation and extrapolation, depending on the acceptable latency of performance. A further embodiment provides hardware-efficient and latency-aware spatiotemporal neural frame prediction. Hardware-efficient and latency-aware spatiotemporal neural frame prediction enables both frame generation and machine learning supersampling using a single network, rather than using separate networks for frame generation and supersampling.
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