G06V10/147

Artificial intelligence advance imaging—processing conditioned light photography and videography to reveal features detectable by other advanced imaging and functional testing technologies

Embodiments of the present systems and methods may provide imaging techniques for multidirectional imaging, light conditioning, illumination sequences, or machine learning to create algorithms created from training by other advanced imaging techniques. In an embodiment, a method for generating an image may comprise obtaining an image of an object produced by a camera and generating, from the obtained image produced by a conventional camera, using an artificial intelligence model and imaging process, an output image including additional information similar to additional information present in an image of the object produced by an advanced imaging system.

Methods and arrangements for identifying objects

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Methods and arrangements for identifying objects

In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective-transformed views—further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used—or ignored—in product identification. A great variety of other features and arrangements are also detailed.

Information processing device, information processing method, and computer program

There is provided an information processing device to enable a three-dimensional shape of an object in a real space to be estimated in a more preferred manner, the information processing device including: a division unit configured to divide, into one or more regions, an image plane corresponding to a viewing point in a real space on which geometric structure information is mapped in accordance with distribution of the geometric structure information; an acquisition unit configured to acquire orientation information indicating at least one of a position and an orientation of the viewing point; an extracting unit configured to extract, as a region of interest, at least part of the regions obtained by dividing the image plane; and an estimation unit configured to estimate a shape of an object in the real space based on the geometric structure information in regions of interest on image planes respectively corresponding to a plurality of different viewing points associated with each other among the viewing points, wherein the geometric structure information is information corresponding to a detection result of each of a plurality of pieces of polarized light having different polarization directions.

VARIABLE RESOLUTION SENSORS

Provided herein is a system and method that acquires data and determines a driving action based on the data. The system comprises a processor configured to acquire data of nonuniform resolution over a field of view of the sensor, and a controller configured to determine a driving action of a vehicle based on the data, and perform the driving action.

IMAGE SENSING APPARATUS AND EXPOSURE TIME ADJUSTMENT METHOD THEREOF
20220027596 · 2022-01-27 · ·

An image sensing apparatus and an exposure time adjustment method thereof are provided. A light sensing unit receives a light signal including image information and generates a sensing signal. An exposure time adjustment circuit is integrated in a chip and adjusts an exposure time of the light sensing unit according to the sensing signal.

DEVICE, METHOD AND SYSTEM FOR ADJUSTING A CONFIGURATION OF A CAMERA DEVICE
20220028115 · 2022-01-27 ·

A device, method and system for adjusting a configuration of a camera device is provided. An example device is in communication with an example camera device having a configuration. The device receives an image sequence from the camera device. The device processes the image sequence to determine a predicted location of a target object identified in the image sequence based on movement of the target object in the image sequence. The device adjusts the configuration of the camera device based on a stored configuration of the camera device, the stored configuration indicative of conditions at the predicted location.

Topview object tracking using a sensor array

An object tracking system includes a first sensor, a second sensor, and a tracking system. The first sensor is configured to capture a first frame of a global plane for at least a first portion of a space. The second sensor is configured to capture a second frame of at least a second portion of the space. The tracking system is configured to determine the object is within an overlap region with the second sensor based on a first pixel location. The tracking system is further configured to determine a first coordinate in the global plane for the object, to determine a second pixel location in the second frame for the object based on the first coordinate, and to store the second pixel location with an object identifier a tracking list associated with the second sensor.

Method and apparatus for super-resolution optical metrology

A method of determining a displacement comprises: generating an interferometric superoscillatory field from coherent electromagnetic radiation, the interferometric superoscillatory field comprising an interference pattern between a reference field and a superoscillatory field; detecting with a detector a first set of intensity distributions of the interferometric superoscillatory field, each intensity distribution from a different polarisation state of the electromagnetic radiation; detecting with the detector a second set of intensity distributions of the interferometric superoscillatory field, each intensity distribution from the same polarisation states of the electromagnetic radiation as the first set of intensity distributions; extracting a first local wavevector distribution from the first set of intensity distributions and a second local wavevector distribution from the second set of intensity distributions; comparing the first local wavevector distribution and the second local wavevector distribution to identify any change in position of one or more features in the local wavevector distributions; and ascertaining that a lateral displacement has occurred between the interferometric superoscillatory field and the detector if a change in position is identified.

Interpreting Optical Signals from Tailored Arrays of Metasurfaces
20220028911 · 2022-01-27 ·

A system and method interpret optical characterization examinations performed with a set of optical devices. Each device comprises one or more arrays of optical metasurface structures and have arrays tailored to have distinct properties making them differ from one another. First data and second data are accessed that capture a physical fingerprint of each device and an outcome of an optical characterization examination performed with each device, respectively. The outcomes of examinations performed are impacted by the respective, distinct properties of the arrays. Each device is identified based on the first data accessed, which makes it possible to obtain a readout key associated with the identified device. This readout key accounts for the respective one of the distinct properties. Finally, the second data are interpreted according to the readout key obtained to elucidate the outcome of the optical characterization examination. The invention is further directed to related computer program products.