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公开(公告)号:US12019396B2
公开(公告)日:2024-06-25
申请号:US18308447
申请日:2023-04-27
Applicant: Intel Corporation
Inventor: Alexey Supikov , Qiong Huang , Ronald T. Azuma
IPC: G03H1/08 , G03H1/04 , G06N3/02 , G06N3/067 , G06T1/20 , G06T7/00 , G06T7/66 , G06T9/00 , G06T19/00
CPC classification number: G03H1/0808 , G03H1/0402 , G03H1/0486 , G06N3/02 , G06N3/067 , G06T1/20 , G06T7/0002 , G06T7/66 , G06T9/002 , G06T19/006 , G03H2001/0428 , G03H2001/0816
Abstract: Techniques related to generating holographic images for a holographic heads up display are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane of the heads up display.
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22.
公开(公告)号:US20240135483A1
公开(公告)日:2024-04-25
申请号:US17972032
申请日:2022-10-23
Applicant: Intel Corporation
Inventor: Shengze Wang , Alexey Supikov , Joshua Ratcliff , Ronald Azuma
CPC classification number: G06T1/20 , G06N3/084 , G06N5/04 , G06T7/0002 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30168
Abstract: Described herein is a graphics processor comprising a system interconnect and a graphics processor cluster coupled with the system interconnect. The graphics processor cluster includes circuitry configurable to generate per-frame neural representations of a multi-view video via incremental training and transferal of weights.
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23.
公开(公告)号:US20240062391A1
公开(公告)日:2024-02-22
申请号:US18498952
申请日:2023-10-31
Applicant: Intel Corporation
Inventor: Niloufar Pourian , Alexey Supikov
CPC classification number: G06T7/246 , G06T5/002 , G06T2207/10016 , G06T2207/20084 , G06T2207/20081
Abstract: Systems, apparatus, articles of manufacture, and methods are disclosed to improve separation mask estimation. An example apparatus includes interface circuitry, instructions, and programmable circuitry to at least one of instantiate or execute the instructions to deactivate a motion network and activate an attribute network in response to a frame input of a stream to a neural network. The example apparatus also executes the instructions to train the attribute network based on the frame input, activate the motion network and deactivate the attribute network in response to a subsequent frame input of the stream to the neural network, train the motion network based on the subsequent frame, and determine pixels of the video stream that are moving.
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公开(公告)号:US11435695B2
公开(公告)日:2022-09-06
申请号:US16451518
申请日:2019-06-25
Applicant: Intel Corporation
Inventor: Alexey Supikov , Qiong Huang , Anders Grunnet-Jepsen , Paul Winer , Ronald T. Azuma , Ofir Mulla
Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a hybrid system including a pre-trained deep neural network and a subsequent iterative process using a sui table propagation model to generate diffraction pattern image data for a target holographic image such that the diffraction pattern image data is to generate a holographic image when implemented via a holographic display.
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25.
公开(公告)号:US20190045176A1
公开(公告)日:2019-02-07
申请号:US15992689
申请日:2018-05-30
Applicant: Intel Corporation
Inventor: Joshua Ratcliff , Alexey Supikov , Santiago Alfaro , Basel Salahieh
IPC: H04N13/344 , G02B27/22
Abstract: Systems, devices, and techniques related to thin form factor head mounted displays and near light field displays are discussed. Such devices may include a display to present elemental images, a primary lens array in an optical path between the display and a viewing zone of a user, the primary lens array to magnify elemental images to a viewing zone, and a secondary array of optical elements between the display and the primary lens array to concentrate elemental images from the display to the primary lens array.
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