公开(公告)号：US11438566B2

公开(公告)日：2022-09-06

申请号：US17164225

申请日：2021-02-01

Applicant: Intel Corporation

Inventor： Tuotuo Li ,  Joshua J. Ratcliff ,  Qiong Huang ,  Alexey M. Supikov ,  Ronald T. Azuma

IPC: H04N13/00 ,  H04N13/144 ,  G06F3/048 ,  H04N13/307 ,  H04N13/106 ,  H04N13/305 ,  H04N13/383 ,  H04N13/324 ,  H04N13/139 ,  G06T15/06 ,  G06T15/50

Abstract: Disclosed herein are systems, apparatus, methods, and articles of manufacture to present three dimensional images without glasses. An example apparatus includes a micro lens array and at least one processor. The at least one processor is to: determine a first position of a first pupil of a viewer; determine a second position of a second pupil of the viewer; align a first eye box with the first position of the first pupil; align a second eye box with the second position of the second pupil; render, for presentation on a display, at least one of a color plus depth image or a light field image based on the first position of the first pupil and the second position of the second pupil; and cause backlight to be steered through the micro lens array and alternatingly through the first eye box and the second eye box.

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.