Abstract: A system and method for displaying elevated, polarized views of water bodies are provided. The system and method of the present disclosure are generally designed to obtain images from a vantage point located at a first location and subsequently transmit and display the same to an individual located at a second location. To this end, the system and method of the present disclosure may comprise a camera, a mounting device, and a display operably connected to the camera. The mounting device may be used to attach the camera in an elevated position on a boat to enable the camera to capture video images of the body of water surrounding the boat. To reduce glare on the body of water, the camera may have a polarized filter. Video images captured by the camera are transmitted to the display for display thereon in real time.

Abstract: A test fixture (10) for HUD windshields (12) wherein aspherical devices (26) compensate for complex curvatures and optical aberrations in a heads-up display surface (16) of the windshield. Tunable lenses cooperate with a movable test matrix to improve image resolution and enhance ghost image reduction.

Abstract: Efficient processing of chroma-subsampled video is performed using convolutional neural networks (CNNs) in which the luma and chroma channels are processed separately. The luma channel is independently convolved and downsampled and, in parallel, the chroma channels are convolved and then merged with the downsampled luma to generate encoded chroma-subsampled video. Further processing of the encoded video that involves deconvolution and upsampling, splitting into two sets of channels, and further deconvolutions and upsampling is used in CNNs to generate decoded chroma-subsampled video in compression-decompression applications, to remove noise from chroma-subsampled video, or to upsample chroma-subsampled video to RGB 444 video. CNNs with separate luma and chroma processing in which the further processing includes additional convolutions and downsampling may be used for object recognition and semantic search in chroma-subsampled video.

Abstract: Techniques for image quality enhancement for autonomous vehicle remote operations are disclosed herein. An image processing system of an autonomous vehicle can obtain images captured by at least two different cameras and stitch the images together to create a combined image. The image processing system can apply region blurring to a portion of the combined image to create an enhanced combined image, e.g., to blur regions/objects determined to be less import (or unimportant) for the remote operations. The image processing system can encode pixel areas of the enhanced combined image using a corresponding quality setting for respective pixel areas to create encoded image files, e.g., based on complexity levels of the respective pixel areas. The image processing system can transmit the encoded image files to a remote operations system associated with the autonomous vehicle for remote operations support.

Abstract: A camera for introducing light pulses in an image stream, comprising an image sensor arranged to capture an image stream, the image sensor comprising a plurality of pixels arranged to capture light of a first wavelength range. The at least one of the plurality of pixels is covered by a first material which is arranged to transform light of a second wavelength range to light of the first wavelength range. Further the camera comprises a first light source arranged to emit light pulses of light of the second wavelength range onto the first material, thereby causing the image sensor to register light pulses in the at least one pixel covered by the first material.

Abstract: A monitoring device comprising a frame usable as facewear, one or more cameras built into the frame, a cover attached to the frame that covers the camera when not in use, and a communication circuit for communicating the camera content to a remote server. In one embodiment the camera can be activated by gestures such as a hands-up gesture in which both hands are raised over the head, when the user is wearing gesture input nodes on their hands or wrists. The camera can alternately be activated by an audio cue or a wrist-worn base having an activation button so that the camera can be activated when the user is in hand restraints. In one embodiment, if the camera is suddenly inoperable or the monitoring device is removed from the user's face, remote wearable cameras on the user's person are activated to continue recording audio, video, or other content.

Abstract: A camera module for imaging in harsh environments, the camera module comprising: a casing defining a fluid tight sealed interior space, the casing being arranged to be mounted on a platform; a camera arranged to face outwardly from the casing to capture images; a data processor; an internal data link coupled between the camera and the data processor to transfer image data from the camera to the data processor; and an external data link coupled to the camera or the data processor and being arranged to communicatively couple the camera module to an external computing device distinct from the camera.

Abstract: A three-dimensional geometry measurement apparatus including a virtual coordinate identification part that identifies coordinates of a virtual captured pixel corresponding to a feature point in an image plane of a capturing device by virtually projecting the feature point on a reference instrument onto the image plane: correction part that generates correction information for correcting coordinates of the measurement-target captured pixel included in a measurement-target captured image; and a geometry identification part that corrects coordinates of a plurality of the measurement-target captured pixels included in the measurement-target captured image generated by capturing an object to be measured with the capturing device on the basis of geometric property information and the correction information, and identifies a geometry of the object to be measured on the basis of measurement three-dimensional coordinates to be calculated based on the coordinates of the measurement-target captured pixels.

Abstract: An image capturing apparatus comprises a plurality of movable image capturing units, a detection unit configured to detect positions of the respective image capturing units, and a generation unit configured to generate video data in which videos obtained by the image capturing units are laid out based on a detection result of the detection unit. The generation unit sets a positional relationship in the video data between at least two videos obtained by at least two image capturing units out of the image capturing units to coincide with a positional relationship between the at least two image capturing units.

Abstract: Methods and systems for detecting a surrounding environment around a vehicle and a trailer coupled to the vehicle. The system includes a plurality of cameras attached to and configured to detect image data. The system also includes an electronic control unit (ECU) of the vehicle communicatively coupled to the plurality of cameras and configured to combine the image data from the plurality of cameras.

Abstract: The present disclosure provides a method for controlling a laser projection module, a device for controlling a laser projection module, a depth camera and an electronic device. The laser projection module includes a laser emitter. The laser emitter includes a plurality of point light sources. The plurality of point light sources are grouped to form a plurality of light-emitting arrays, and the plurality of the light-emitting arrays are controlled independently. The method includes: obtaining a current distance between the laser projection module and the user; determining a target number of the light-emitting arrays from the plurality of light-emitting arrays according to the current distance; and activating point light sources in a target number of point light sources of the light-emitting arrays.

Abstract: A measurement system for a vehicle including a first camera defining a field of view having a corresponding optical axis, and a motion detection sensor mechanically fixed to the first camera such that the motion detection sensor is configured to detect motion of the optical axis.

Abstract: A computer implemented method for controlling read-out from a digital image sensor device, comprising a plurality of pixels, the method comprising the steps of setting a first read-out scheme, based on a first level of pixel binning and/or pixel skipping, reading, based on the first read-out scheme, from the digital image sensor device, a first image, determining an exposure value for the first image, based on the intensity value of each one of the first plurality of regions of the first image and comparing the exposure value with a predetermined maximum value. A second read-out scheme based on a second level of pixel binning and/or pixel skipping is set. The level of pixel binning and/or pixel skipping in the second read-out scheme is increased compared to the first read-out scheme, if the exposure value is higher than the predetermined maximum value. Based on the second read-out scheme, a subsequent second image is read. A system configured to perform the method is also described.

Abstract: A medicine inspection assistance device, an image processing device and an image processing method are provided that appropriately recognize identification information irrespective of whether the identification information is an engraved mark or a printed character. The image processing device that obtains a plurality of taken images of a medicine, performs a process of enhancing an engraved mark portion of the medicine based on at least one taken image among the taken images and generates a first enhanced image, performs a process of enhancing a printed character portion of the medicine based on at least one taken image among the taken images and generates a second enhanced image, collates an integrated image obtained by integrating the first enhanced image and the second enhanced image with each other, with a master image, and determines whether the medicine to be dispensed and the dispensed medicine are identical to each other or not.

Abstract: An image fusion method includes acquiring a trigger signal for flat-field correction, controlling a first image acquisition device to start a flat-field correction function to perform a flat-field correction process on the first image acquisition device according to the trigger signal for the flat-field correction, and obtaining a fused image in the flat-field correction process according to an infrared image acquired by the first image acquisition device and a visible light image acquired by a second image acquisition device. The first image acquisition device does not output infrared images during the flat-field correction process.

Abstract: Systems and methods may provide for occlusion detection in frame rate conversion. Detecting the occlusion allows frame rate conversion to be more accurately performed. In some embodiments, one or more stereoscopic depth cameras may be used to determine the depth of a moving object to more accurately determine the occlusion. In some embodiments, the compression ratio may be adjusted to balance the frame rate and power to help ensure compliance with a power budget. In at least some embodiments, the motion of a camera may be passed from a 3D render pipe to an encoder to avoid motion calculation and thereby saving power.

Abstract: A method for calculating a tow hitch position of a trailer is presented. A first and a second image of the trailer is captured and a trailer rotation and translation relative to a known zero pose of the trailer based on the captured first and second images is calculated. The rotation axes of the trailer in the first and second image is calculated based on the calculated trailer rotations and translations. An intersection of the first and second rotation axis is calculated to determine a ray to the tow hitch position. The ray to the tow hitch position and a geometrical condition are used to calculate the tow hitch position.

Abstract: A crane creates a 3D map on the basis of three-dimensional information acquired by a three-dimensional information obtaining section that is provided on a boom. The three-dimensional information obtaining section: is configured to be capable of accumulating acquired three-dimensional information and to be capable of changing a measurement direction, a measurement range, and a measurement density; and creates the 3D map by superimposing accumulated three-dimensional information. When an operation signal for a swivel operation for a swivel base, a hoisting operation for the boom, or an extension/retraction operation for the boom has been detected, on the basis of the movement direction and movement speed of the boom as calculated from a detected value for the operation signal, the three-dimensional information obtaining section: changes the measurement direction; and narrows the measurement range and increases the measurement density as compared to when the operation signal has not been detected.

Abstract: An image encoder configured to process a Bayer image generated by passing through a color filter of a Bayer pattern includes: a detector configured to read the Bayer image in units of blocks and search for, in the blocks, a target pixel to be compressed and a plurality of candidate pixels which are located adjacent to the target pixel; a flag generator configured to compare a first pixel value of the target pixel with second pixel values based on pixel values of the plurality of candidate pixels, identify a reference pixel based on a comparison result, and generate a flag indicating relative direction information between the target pixel and the reference pixel; and a compressor configured to encode information corresponding to a comparison method applied by the flag generator and the comparison result and output the encoded information as a bitstream together with the flag.

Abstract: An example holographic video recording system comprises: a first group of cameras positioned at a first position, a second group of cameras positioned at a second position, and a third group of cameras including a third infrared camera. The first group of cameras includes a first infrared camera and a first color camera; the second group of cameras includes a second infrared camera and a second color camera; and the third group of cameras includes a third infrared camera spatially positioned between the first and second infrared cameras. A depth map may be calculated using the first infrared camera and the second infrared camera in accordance with determining that an object is beyond a predefined distance from the holographic video recording system; or the first infrared camera and the third infrared camera in accordance with determining that the object is within the predefined distance from the holographic video recording system.