Abstract: A three-dimensional (3D) imaging system includes a projector configured to illuminate a scene. The 3D imaging system also includes a first camera configured to capture first data from the scene during illumination by the projector and a second camera configured to capture second data from the scene during the illumination by the projector. The 3D imaging system further includes a processor in communication with the first camera and the second camera. The processor is configured to process the first data and the second data to generate a 3D image or a 3D video.

Abstract: A system to process imaging data includes an imaging system configured to capture image data and event data of a scene, compress the image data and the event data, and transmit the compressed image data and compressed event data to a host. The host is operatively coupled to the imaging system, and includes a processor configured to perform object detection on the compressed image data and the compressed event data to identify one or more objects. The processor is also configured to perform object tracking on the one or more objects. The processor is also configured to predict one or more regions of interest for subsequent data capture based on the object detection and the object tracking. The processor is further configured to provide the one or more regions of interest to the imaging system to control capture of additional image data and additional event data by the imaging system.

Abstract: A system to process images includes a light source configured to emit a first illumination pattern onto one or more first portions of a scene. The system also includes an image sensor configured to capture light reflected from the scene in response to the emitted first illumination pattern. The system also includes an optimizer configured to perform raytracing of the light reflected from the scene. The system further includes a processor operatively coupled to the optimizer. The processor is configured to determine a parameter of a surface of the scene based on the raytracing, cause the light source to emit a second illumination pattern onto one or more second portions of the scene based at least in part on the parameter of the surface, and refine the parameter of the surface of the scene based on additional raytracing performed on reflected light from the second illumination pattern.

Abstract: An image capturing system includes a light source configured to emit light toward an object or scene that is to be imaged. The system also includes a time-of-flight image sensor configured to receive light signals based on reflected light from the object or scene. The system also includes a processor operatively coupled to the light source and the time-of-flight image sensor. The processor is configured to perform compressive sensing of the received light signals. The processor is also configured to generate an image of the object or scene based at least in part on the compressive sensing of the received light signals.

Abstract: A system to generate image representations includes a first objective that receives a first light beam emitted from a sample and a second objective that receives a second light beam emitted from the sample, where the first light beam and the second light beam have conjugate phase. The system also includes a first diffractive element to receive the first light beam and separate it into a first plurality of diffractive light beams that are spatially distinct, and a second diffractive element to receive the second light beam and separate it into a second plurality of diffractive light beams that are spatially distinct. The system further includes a detector that receives the first and second plurality of diffractive light beams. The first plurality of diffractive light beams and the second plurality of diffractive light beams are simultaneously directed and focused onto different portions of an image plane of the detector.

Abstract: A three-dimensional (3D) imaging system includes a mobile device that has a display screen configured to display a series of patterns onto an object that is to be imaged. The mobile device also includes a front-facing camera configured to capture reflections of the series of patterns off of the object. The system also includes a controller that is configured to control a timing of the series of patterns that appear on the display screen and activation of the front-facing camera in relation to the appearance of the series of patterns.

Abstract: An imaging system includes an event camera configured to capture a first image of a scene. The system also includes a shutter camera collocated with the event camera, where the shutter camera is configured to capture a second image of the scene. The system also includes a processor operatively coupled to the event camera and the shutter camera. The processor is configured to apply guided event filtering (GEF) on the first image and the second image. The processor is also configured to generate a third image based on filtering of the first image and the second image.

Abstract: A system to process imaging data includes an imaging system configured to capture image data and event data of a scene, compress the image data and the event data, and transmit the compressed image data and compressed event data to a host. The host is operatively coupled to the imaging system, and includes a processor configured to perform object detection on the compressed image data and the compressed event data to identify one or more objects. The processor is also configured to perform object tracking on the one or more objects. The processor is also configured to predict one or more regions of interest for subsequent data capture based on the object detection and the object tracking. The processor is further configured to provide the one or more regions of interest to the imaging system to control capture of additional image data and additional event data by the imaging system.

Abstract: Systems, methods, and computer readable media for hyperspectral imaging are provided. An example hyperspectral imaging sensor system to identify item composition includes an imager to capture hyperspectral imaging data of one or more items with respect to a target. The example includes a sensor to be positioned with respect to the target to trigger capture of the image data by the imager based on a characteristic of the target. The example includes a processor to prepare the captured imaging data for analysis to at least: identify the one or more items; determine composition of the one or more items; calculate an energy intake associated with the one or more items; and classify the target based on the energy intake.

Abstract: A three-dimensional (3D) display system includes a reference spatial light modulator configured to generate a reference wavefront. The system also includes an object spatial light modulator configured to generate an object wavefront. The system further includes a Hogel basis display positioned between the reference spatial light modulator and the object spatial light modulator. The Hogel basis display is configured to receive the reference wavefront and the object wavefront. The Hogel basis display is also configured to generate a light field based at least in part on interference between the reference spatial light modulator and the object spatial light modulator.

Abstract: An imaging system includes an event camera configured to capture a first image of a scene. The system also includes a shutter camera collocated with the event camera, where the shutter camera is configured to capture a second image of the scene. The system also includes a processor operatively coupled to the event camera and the shutter camera. The processor is configured to apply guided event filtering (GEF) on the first image and the second image. The processor is also configured to generate a third image based on filtering of the first image and the second image.

Abstract: A system configured to generate images includes one or more narrowband electromagnetic sources configured to emit a first radiation and a second radiation. The system also includes a detector configured to detect first reflected radiation off of an object and second reflected radiation off of the object, where the first reflected radiation results from the first radiation and the second reflected radiation results from the second radiation. The system further includes a processor operatively coupled to the detector and configured to generate an image of the object based at least in part on a first amplitude of the first reflected radiation and a second amplitude of the second reflected radiation. The processor is also configured to determine a depth profile of the object based at least in part on the first reflected radiation and the second reflected radiation detected by the detector.

Abstract: A system to generate image representations includes a first objective that receives a first light beam emitted from a sample and a second objective that receives a second light beam emitted from the sample, where the first light beam and the second light beam have conjugate phase. The system also includes a first diffractive element to receive the first light beam and separate it into a first plurality of diffractive light beams that are spatially distinct, and a second diffractive element to receive the second light beam and separate it into a second plurality of diffractive light beams that are spatially distinct. The system further includes a detector that receives the first and second plurality of diffractive light beams. The first plurality of diffractive light beams and the second plurality of diffractive light beams are simultaneously directed and focused onto different portions of an image plane of the detector.

Abstract: A three-dimensional (3D) imaging system includes a mobile device that has a display screen configured to display a series of patterns onto an object that is to be imaged. The mobile device also includes a front-facing camera configured to capture reflections of the series of patterns off of the object. The system also includes a controller that is configured to control a timing of the series of patterns that appear on the display screen and activation of the front-facing camera in relation to the appearance of the series of patterns.

Abstract: A system to process images includes a light source configured to emit a first illumination pattern onto one or more first portions of a scene. The system also includes an image sensor configured to capture light reflected from the scene in response to the emitted first illumination pattern. The system also includes an optimizer configured to perform raytracing of the light reflected from the scene. The system further includes a processor operatively coupled to the optimizer. The processor is configured to determine a parameter of a surface of the scene based on the raytracing, cause the light source to emit a second illumination pattern onto one or more second portions of the scene based at least in part on the parameter of the surface, and refine the parameter of the surface of the scene based on additional raytracing performed on reflected light from the second illumination pattern.

Abstract: A method for imaging objects includes illuminating an object with a light source of an imaging device, and receiving an illumination field reflected by the object. An aperture field that intercepts a pupil of the imaging device is an optical propagation of the illumination field at an aperture plane. The method includes receiving a portion of the aperture field onto a camera sensor, and receiving a sensor field of optical intensity. The method also includes iteratively centering the camera focus along the Fourier plane at different locations to produce a series of sensor fields and stitching together the sensor fields in the Fourier domain to generate an image. The method also includes determining a plurality of phase information for each sensor field in the series of sensor fields, applying the plurality of phase information to the image, receiving a plurality of illumination fields reflected by the object, and denoising the intensity of plurality of illumination fields using Fourier ptychography.

Abstract: An image capturing system includes a light source configured to emit light toward an object or scene that is to be imaged. The system also includes a time-of-flight image sensor configured to receive light signals based on reflected light from the object or scene. The system also includes a processor operatively coupled to the light source and the time-of-flight image sensor. The processor is configured to perform compressive sensing of the received light signals. The processor is also configured to generate an image of the object or scene based at least in part on the compressive sensing of the received light signals.

Abstract: Systems, methods, and computer readable media for hyperspectral imaging are provided. An example hyperspectral imaging sensor system to identify item composition includes an imager to capture hyperspectral imaging data of one or more items with respect to a target. The example includes a sensor to be positioned with respect to the target to trigger capture of the image data by the imager based on a characteristic of the target. The example includes a processor to prepare the captured imaging data for analysis to at least: identify the one or more items; determine composition of the one or more items; calculate an energy intake associated with the one or more items; and classify the target based on the energy intake.

Abstract: A system configured to generate images includes one or more narrowband electromagnetic sources configured to emit a first radiation and a second radiation. The system also includes a detector configured to detect first reflected radiation off of an object and second reflected radiation off of the object, where the first reflected radiation results from the first radiation and the second reflected radiation results from the second radiation. The system further includes a processor operatively coupled to the detector and configured to generate an image of the object based at least in part on a first amplitude of the first reflected radiation and a second amplitude of the second reflected radiation. The processor is also configured to determine a depth profile of the object based at least in part on the first reflected radiation and the second reflected radiation detected by the detector.

Abstract: Motion contrast depth scanning is disclosed herein. A disclosed example apparatus includes an illumination source that is to provide at least one of spatial or temporal changes to light emitted from the illumination source to a scene. The example apparatus also includes a motion contrast sensor, where pixels of the motion contrast sensor are to detect changes corresponding to the scene, and where the motion contrast sensor is to report measurements when a pixel change exceeds a threshold. The example apparatus further includes a processor to determine at least one of a reflectance, a depth, or movement of the scene based on the reported measurements by the motion contrast sensor.