Duke University

Applied Quantum Technologies, Inc.

Neurophos LLC

Daniel Marks

David Brady

David R Smith

Tom Driscoll

John Desmond Hunt

Matthew Carl Reynolds

Alexander Mrozack

Jungsang Kim

Hui Seong Son

Patrick Bowen

Andrew Traverso

Ruoyu Zhu

Scott Thomas McCain

Nathan Adrian Hagen

Zhiqin Huang

David Smith

Orges Furxhi

Opto-electronic devices can evaluate convolutional neural networks with reduced power consumption and higher speeds using optical metamaterial structures. Methods and systems for convolution of an input vector f with a kernel k can include a first optical element that is adjustable according to the input vector f and a second optical element that is adjustable according to the kernel k, where either or both elements can include adjustable optical metasurfaces. In some approaches, the second optical element is adjustable according to a Fourier transform of the kernel k and is interposed between first and second lenses or volumetric metamaterials implementing Fourier and inverse Fourier transforms, respectively.

Computation with adjustable resonant optical metamaterials

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.

Out-of-plane computer-generated multicolor waveguide holography

Computation with optical metamaterials

A multiscale telescopic imaging system is disclosed. The system includes an objective lens, having a wide field of view, which forms an intermediate image of a scene at a substantially spherical image surface. A plurality of microcameras in a microcamera array relay image portions of the intermediate image onto their respective focal-plane arrays, while simultaneously correcting at least one localized aberration in their respective image portions. The microcameras in the microcamera array are arranged such that the fields of view of adjacent microcameras overlap enabling field points of the intermediate image to be relayed by multiple microcameras. The microcamera array and objective lens are arranged such that light from the scene can reach the objective lens while mitigating deleterious effects such as obscuration and vignetting.

Multiscale telescopic imaging system

Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Metamaterial devices and methods of using the same

An imaging system as disclosed can include multiple bistatic radar sensors configured to transmit electromagnetic waves towards a surface of a target object and configured to measure the electromagnetic waves reflected from the surface of the target object. The imaging system includes a computing device that determines time of flight estimates based on the measured waves. The computing device can draw, within an image model for the target object, multiple candidate surface portions of the surface of the target object based on the TOF estimates and predetermined positions of the bistatic radar sensors. Further, the computing device can assign weights to the candidate surface portions. The computing device can determine points where the candidate surface portions meet with a predetermined probability based on the weights. The computing device is configured to define an estimated surface of the target object in the image model based on the determined points.

Systems and methods for using time of flight measurements for imaging target objects

Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Multi-sensor compressive imaging

Rapid radio frequency (RF) microwave devices and methods are disclosed. According to an aspect, a waveguide includes a body having first and second components that are attachable together to form an interior having a surface. Further, the waveguide includes a conductive material formed on the interior surface and shaped to convey electromagnetic waves.

Waveguide comprising first and second components attachable together using an extruding lip and an intruding groove

Optical systems based on an objective lens comprising one or more plastic lens elements are disclosed. The inclusion of plastic lens element reduces one or more of system cost, size, weight, and/or complexity. The chromatic performance of some imaging systems in accordance with the present invention is improved by incorporation of a diffractive surface into the entry surface of the objective lens.

System comprising a spectrally selective detector

A monocentric lens-based multi-scale imaging system is disclosed. Embodiments of the present invention comprise a monocentric lens as an objective lens that collects light from a scene. Monocentric lenses in accordance with the present invention include a spherical central lens element and a plurality of lens shell sections that collectively reduce at least one of spherical and chromatic aberration from the magnitude introduced by the spherical lens element itself. A plurality of secondary lenses image the scene through the objective lens and further reduce the magnitude of aberrations introduced by the objective lens. A plurality of sensor arrays converts optical sub-images of the scene into a plurality of digital images, which can then be used to form a composite image of the scene.

Monocentric lens-based multi-scale optical systems and methods of use

Methods for stitching multiple sub-images together to form a substantially seamless composite image are disclosed. Overlap regions formed by each pair of neighboring sub-images are periodically examined and key features common to the overlap regions in each sub-image of the pair are identified. A transformation is determined for each sub-image pair based on the positions of these key features. The transformation is split between the sub-images and applied to distort the overlap regions in each sub-image pair such that they are substantially aligned. Applying the transformations to each overlap region in the overall image enables creation of a substantially seamless composite image. In some embodiments, the process wherein the transformations are determined is run as a feedback loop to enable continuing refinement of the transformations.

Method for combining multiple image fields

A camera system for a mobile device includes an array of compact catadioptric telescopes wherein at least some of the telescopes have a portion of their aperture truncated. At least some of the catadioptric telescopes in the array are tilted with respect to the system optical axis.

Growing community of inventors

Durham, NC, United States of America

Daniel Marks