Patent classifications
G03H1/26
DEVICE, METHOD, APPARATUS, AND MEDIUM FOR GENERATING HOLOGRAPHIC STEREOSCOPIC IMAGE
This application discloses a device for generating a holographic stereoscopic image. The device includes a body, a three-dimensional display, and a negative refractive index plate. The body includes a first cavity and a second cavity, a bending angle existing between a central axis of the first cavity and a central axis of the second cavity. A second end of the first cavity is in communication with a first end of the second cavity, an opening being formed by a second end of the second cavity on a side wall of the body. The three-dimensional display is arranged on the first end of the first cavity, and the negative refractive index plate is arranged between the second end of the first cavity and the first end of the second cavity. A display direction of the three-dimensional display faces the negative refractive index plate, and a refraction direction of the negative refractive index plate faces the opening.
Four dimensional energy-field package assembly
Four dimensional (4D) energy-field package assembly for projecting energy fields according to a 4D coordinate function. The 4D energy-field package assembly includes an energy-source system having energy sources capable of providing energy to energy locations, and energy waveguides for directing energy from the energy locations from one side of the energy waveguide to another side of the energy waveguide along energy propagation paths.
DARK FIELD DIGITAL HOLOGRAPHIC MICROSCOPE AND ASSOCIATED METROLOGY METHOD
A dark field digital holographic microscope is disclosed which is configured to determine a characteristic of interest of a structure. The dark field digital holographic microscope comprises an illumination device configured to provide at least: a first beam pair comprising a first illumination beam of radiation (1010) and a first reference beam of radiation (1030) and a second beam pair comprising a second illumination beam of radiation (1020) and a second reference beam of radiation (1040); and one or more optical elements (1070) operable to capture a first scattered radiation and to capture a second scattered radiation scattered by the structure resultant from the first and second illumination beams respectively. The beams of the first beam pair are mutually coherent and the beams of the second beam pair are mutually coherent. The illumination device is configured to impose incoherence (ADI) between the first beam pair and second beam pair.
OPTICAL INFORMATION RECORDING/REPRODUCING DEVICE, OPTICAL INFORMATION REPRODUCING DEVICE, AND OPTICAL INFORMATION REPRODUCING METHOD
An optical information recording/reproducing device which records an interference pattern between a reference beam and a signal beam as a hologram in an optical information storage medium or reproduces information from the optical information storage medium, the optical information recording/reproducing device includes a light source unit which emits a light beam, a signal-beam/reference-beam optical unit which generates the signal beam and the reference beam from the light beam and irradiates the optical information storage medium, a spatial light modulator which adds information to the generated signal beam, a photodetection unit which detects a reproduced beam from the optical information storage medium and acquires a reproduced image constituted by a plurality of pixels arrayed in a lattice shape, and a signal processing unit which performs equalization processing to a first pixel of the reproduced image to have a target characteristic.
Method and apparatus for generating hologram with wide viewing angle
A method and apparatus for generating a hologram with a wide viewing angle is disclosed. The method includes generating a elemental complex hologram by applying oblique projection to three-dimensional (3D) information of an object based on a viewing direction, and generating a final hologram by superposing a plurality of elemental complex holograms generated based on different viewing directions.
A METHOD AND DISPLAY APPARATUS FOR REDUCING HOLOGRAPHIC SPECKLE
A method and display apparatus for reducing holographic speckle when displaying holographic images are described. A target image (10) is decomposed into input images (11). A first input image includes higher spatial frequency components of the target image and is imaged using a first display method (12) to generate a first holographic display image. The second input image includes lower spatial frequency components of the target image and is imaged using a second display method (12) to generate a second display image. The first and second display images are combined for display to a user. The second display method (12) is adapted to reduce holographic speckle or include no holographic speckle compared to the first holographic display method (12) thereby reducing holographic speckle in the combined display image (13).
Near-to-eye and see-through holographic displays
A holographic display is comprised of space-multiplexed elemental modulators, each of which consists of a surface acoustic wave transducer atop an anisotropic waveguide. Each “line” of the overall display consists of a single anisotropic waveguide across the display's length with multiple surface acoustic wave transducers spaced along the waveguide length, although for larger displays, the waveguide may be divided into segments, each provided with separate illumination. Light that is undiffracted by a specific transducer is available for diffraction by subsequent transducers. Per transducer, guided-mode light is mode-converted to leaky-mode light, which propagates into the substrate away from the viewer before encountering a volume reflection grating and being reflected and steered towards the viewer. The display is transparent and all reflection volume gratings operate in the Bragg regime, thereby creating no dispersion of ambient light.
Devices and methods employing optical-based machine learning using diffractive deep neural networks
An all-optical Diffractive Deep Neural Network (D.sup.2NN) architecture learns to implement various functions or tasks after deep learning-based design of the passive diffractive or reflective substrate layers that work collectively to perform the desired function or task. This architecture was successfully confirmed experimentally by creating 3D-printed D.sup.2NNs that learned to implement handwritten classifications and lens function at the terahertz spectrum. This all-optical deep learning framework can perform, at the speed of light, various complex functions and tasks that computer-based neural networks can implement, and will find applications in all-optical image analysis, feature detection and object classification, also enabling new camera designs and optical components that can learn to perform unique tasks using D.sup.2NNs. In alternative embodiments, the all-optical D.sup.2NN is used as a front-end in conjunction with a trained, digital neural network back-end.
Out-of-plane computer-generated multicolor waveguide holography
Various examples of out-of-plane multicolor waveguide holography systems, methods of manufacture, and methods of use are described herein. In some examples, a multicolor waveguide holography system includes a planar waveguide to convey optical radiation between a grating coupler and a metasurface hologram. The grating coupler may be configured to couple out-of-plane optical radiation of three different color incident at three different angles into the planar waveguide. The combined multicolor optical radiation may be conveyed by the waveguide to the metasurface hologram. The metasurface hologram may diffractively decouple the three colors of optical radiation for off-plane propagation to form a multicolor holographic image in free space.
Holographic Calling for Artificial Reality
A holographic calling system can capture and encode holographic data at a sender-side of a holographic calling pipeline and decode and present the holographic data as a 3D representation of a sender at a receiver-side of the holographic calling pipeline. The holographic calling pipeline can include stages to capture audio, color images, and depth images; densify the depth images to have a depth value for each pixel while generating parts masks and a body model; use the masks to segment the images into parts needed for hologram generation; convert depth images into a 3D mesh; paint the 3D mesh with color data; perform torso disocclusion; perform face reconstruction; and perform audio synchronization. In various implementations, different of these stages can be performed sender-side or receiver side. The holographic calling pipeline also includes sender-side compression, transmission over a communication channel, and receiver-side decompression and hologram output.