公开(公告)号：US20220197214A1

公开(公告)日：2022-06-23

申请号：US17691579

申请日：2022-03-10

Applicant: Intel Corporation

Inventor： Alexey Supikov ,  Qiong Huang ,  Ronald T. Azuma

IPC: G03H1/08 ,  G03H1/04 ,  G06T9/00 ,  G06N3/02 ,  G06T1/20 ,  G06T7/00 ,  G06T19/00 ,  G06N3/067 ,  G06T7/66

Abstract: Techniques related to generating holographic images 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 a wave propagation model. The wave propagation model is used to generate holographic data, which is then adjusted according to one or more constraints associated with the holographic display that will be used to generate a holographic image based on the adjusted holographic data.

公开(公告)号：US20190317451A1

公开(公告)日：2019-10-17

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

IPC: G03H1/26 ,  G06K9/62 ,  G06N3/08

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.

公开(公告)号：US11880928B2

公开(公告)日：2024-01-23

申请号：US17723772

申请日：2022-04-19

Applicant: INTEL CORPORATION

Inventor： Scott Janus ,  Prasoonkumar Surti ,  Karthik Vaidyanathan ,  Alexey Supikov ,  Gabor Liktor ,  Carsten Benthin ,  Philip Laws ,  Michael Doyle

IPC: G06T15/06 ,  G06T17/00 ,  G06T1/60 ,  G06T15/00

CPC classification number: G06T15/06 ,  G06T1/60 ,  G06T15/005 ,  G06T17/005 ,  G06T2210/21

Abstract: Apparatus and method for a hierarchical beam tracer. For example, one embodiment of an apparatus comprises: a beam generator to generate beam data associated with a beam projected into a graphics scene; a bounding volume hierarchy (BVH) generator to generate BVH data comprising a plurality of hierarchically arranged BVH nodes; a hierarchical beam-based traversal unit to determine whether the beam intersects a current BVH node and, if so, to responsively subdivide the beam into N child beams to test against the current BVH node and/or to traverse further down the BVH hierarchy to select a new BVH node, wherein the hierarchical beam-based traversal unit is to iteratively subdivide successive intersecting child beams and/or to continue to traverse down the BVH hierarchy until a leaf node is reached with which at least one final child beam is determined to intersect; the hierarchical beam-based traversal unit to generate a plurality of rays within the final child beam; and intersection hardware logic to perform intersection testing for any rays intersecting the leaf node, the intersection testing to determine intersections between the rays intersecting the leaf node and primitives bounded by the leaf node.

公开(公告)号：US20220269218A1

公开(公告)日：2022-08-25

申请号：US17740946

申请日：2022-05-10

Applicant: Intel Corporation

Inventor： Alexey Supikov ,  Qiong Huang ,  Ronald T. Azuma

IPC: G03H1/08 ,  G03H1/04 ,  G06T1/20 ,  G06N3/02 ,  G06N3/067 ,  G06T7/66 ,  G06T7/00 ,  G06T9/00 ,  G06T19/00

Abstract: Techniques related to generating holographic images 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.

公开(公告)号：US11378915B2

公开(公告)日：2022-07-05

申请号：US16712779

申请日：2019-12-12

Applicant: INTEL CORPORATION

Inventor： Alexey Supikov ,  Qiong Huang ,  Ronald T. Azuma

IPC: G03H1/08 ,  G03H1/04 ,  G06T9/00 ,  G06N3/02 ,  G06T1/20 ,  G06T7/00 ,  G06T19/00 ,  G06N3/067 ,  G06T7/66

Abstract: Techniques related to generating holographic images are discussed. Such techniques include application of a pre-trained deep neural network to a target holographic image to generate a feedback strength value for error feedback in an iterative propagation feedback model and generating a diffraction pattern image corresponding to the target holographic image by applying the iterative propagation feedback model based on the target holographic image and using the feedback strength value.

公开(公告)号：US10762686B2

公开(公告)日：2020-09-01

申请号：US16235906

申请日：2018-12-28

Applicant: Intel Corporation

Inventor： Scott Janus ,  Prasoonkumar Surti ,  Karthik Vaidyanathan ,  Alexey Supikov ,  Gabor Liktor ,  Carsten Benthin ,  Philip Laws ,  Michael Doyle

IPC: G06T15/06 ,  G06T17/00 ,  G06T1/60 ,  G06T15/00

Abstract: Apparatus and method for a hierarchical beam tracer. For example, one embodiment of an apparatus comprises: a beam generator to generate beam data associated with a beam projected into a graphics scene; a bounding volume hierarchy (BVH) generator to generate BVH data comprising a plurality of hierarchically arranged BVH nodes; a hierarchical beam-based traversal unit to determine whether the beam intersects a current BVH node and, if so, to responsively subdivide the beam into N child beams to test against the current BVH node and/or to traverse further down the BVH hierarchy to select a new BVH node, wherein the hierarchical beam-based traversal unit is to iteratively subdivide successive intersecting child beams and/or to continue to traverse down the BVH hierarchy until a leaf node is reached with which at least one final child beam is determined to intersect; the hierarchical beam-based traversal unit to generate a plurality of rays within the final child beam; and intersection hardware logic to perform intersection testing for any rays intersecting the leaf node, the intersection testing to determine intersections between the rays intersecting the leaf node and primitives bounded by the leaf node.

公开(公告)号：US20250004421A1

公开(公告)日：2025-01-02

申请号：US18735369

申请日：2024-06-06

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

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.

公开(公告)号：US20240233062A9

公开(公告)日：2024-07-11

申请号：US17972032

申请日：2022-10-24

Applicant: Intel Corporation

Inventor： Shengze Wang ,  Alexey Supikov ,  Joshua Ratcliff ,  Ronald Azuma

IPC: G06T1/20 ,  G06N3/08 ,  G06N5/04 ,  G06T7/00

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.

公开(公告)号：US20230341815A1

公开(公告)日：2023-10-26

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 ,  G06T9/00 ,  G06N3/02 ,  G06T1/20 ,  G06T7/00 ,  G06T19/00 ,  G06N3/067 ,  G06T7/66

CPC classification number: G03H1/0808 ,  G03H1/0486 ,  G03H1/0402 ,  G06T9/002 ,  G06N3/02 ,  G06T1/20 ,  G06T7/0002 ,  G06T19/006 ,  G06N3/067 ,  G06T7/66 ,  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.

公开(公告)号：US11733648B2

公开(公告)日：2023-08-22

申请号：US17872669

申请日：2022-07-25

Applicant: Intel Corporation

Inventor： Alexey Supikov ,  Qiong Huang ,  Anders Grunnet-Jepsen ,  Paul Winer ,  Ronald T. Azuma ,  Ofir Mulla

IPC: G03H1/08 ,  G03H1/26 ,  G06V10/764 ,  G06V10/82 ,  G06N3/08 ,  G06F18/214 ,  G06V10/44 ,  G06V10/60

CPC classification number: G03H1/0808 ,  G03H1/2645 ,  G06F18/214 ,  G06N3/08 ,  G06V10/454 ,  G06V10/60 ,  G06V10/764 ,  G06V10/82 ,  G03H2001/266 ,  G03H2210/441 ,  G03H2210/46

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 suitable 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.