Abstract: An alignment system for images produced by cameras externally mounted on an aircraft includes a visual display positioned at a first location in the aircraft (such as a flight deck) and an alignment device positioned at a second location in the aircraft (such as an electronics bay). The visual display displays images provided by the cameras. The alignment device includes a user interface, which includes user inputs for selecting one of the cameras and for aligning an image from the camera selected on the visual display, a depiction of an aircraft, and indicators positioned adjacent the depiction. Each of the indicators represents selection of one of the cameras for aligning the image from that camera on the visual display.

Abstract: An encoder comprises a rate controller and a quantizer. The rate controller may be configured to compare an activity of a current block with an average activity of a previous frame; determine a quantization parameter offset according to the comparison between the activity of the current block and the average activity of the previous frame. Lastly, the rate controller may be configured to determine a quantization parameter using the quantization parameter offset. The quantizer in the encoder may be configured to quantize the current block using the quantization parameter.

Abstract: A camera system captures images from a set of cameras to generate binocular panoramic views of an environment. The cameras are oriented in the camera system to maximize the minimum number of cameras viewing a set of randomized test points. To calibrate the system, matching features between images are identified and used to estimate three-dimensional points external to the camera system. Calibration parameters are modified to improve the three-dimensional point estimates. When images are captured, a pipeline generates a depth map for each camera using reprojected views from adjacent cameras and an image pyramid that includes individual pixel depth refinement and filtering between levels of the pyramid. The images may be used to generate views of the environment from different perspectives (relative to the image capture location) by generating depth surfaces corresponding to the depth maps and blending the depth surfaces.

Abstract: Presented herein are techniques for filtering pixels during video coding and decoding operations. Similar operations are performed at a video encoder and a video decoder. For a target pixel in a block of a video frame represented by the encoded bit-stream, a value of the target pixel is compared with neighboring pixels to produce a plurality of comparison results. A particular offset value for the target pixel is derived based on the plurality of comparison results. The target pixel is filtered using the particular offset value. This process is performed for some or all of the pixels of blocks of a video frame.

Abstract: Methods, systems, and computer programs are presented for object recognition performed by electronic devices. One method includes an operation for capturing three-dimensional (3D) images of a region over a surface using 3D cameras, the surface having a pattern and each 3D camera defining a respective camera coordinate system. For each camera, the 3D image is analyzed to identify a location of the pattern indicating an origin of a common coordinate system, and a coordinate transformation function is defined to convert data to the common coordinate system. Each 3D camera captures a 3D object image of an object on the surface that includes 3D object data. The 3D object data is transformed to the common coordinate system to obtain transformed 3D object data. The 3D object data is combined to obtain a composite 3D object data, and object recognition of the object is performed based on the composite 3D object data.

Abstract: A system and method of displaying a conformal-capable head-up display image is provided. Distortions caused by combiner curvature, for example, are removed by pre-distorting and projecting separate images for each eye. Shutter-based eyewear controls the visibility as the imagery is cycled, e.g., shuttered, between left and right eyes. The combined image generator, projector and eyewear system maintains minimal vergence errors, minimal dipvergence errors, acceptable average transmittance, and optionally, high conformality.

Abstract: Techniques are described for performing constrained three-dimensional (3D) color prediction for color gamut scalability in video coding. Color prediction techniques for color gamut scalability may be used by video coders to generate inter-layer reference pictures when a color gamut for a reference layer of video data is different than a color gamut for an enhancement layer of the video data, or when a bit depth of the reference layer is different than a bit depth of the enhancement layer. According to the techniques, a video coder may perform 3D color prediction with constrained bit depths of input and output color components of the 3D lookup table. According to further techniques, in the case of multiple layers, a video coder may perform 3D color prediction with constrained application to reference pictures in only one or more identified reference layers.

Abstract: A system for motion control is presented. In one embodiment, a motion control 3D projection system includes a projector; and a projection surface coupled to a robotic arm, where the robotic arm moves the projection surface through a set of spatial coordinates, and a 3D projection from the projector is projected onto a set of coordinates of the projection surface and matches the 3D projection to the set of coordinates of the projection surface as the projection surface moves through the set of spatial coordinates. In additional embodiments, a master control system may integrate additional robotic arms and other devices to create a motion control scene with a master timeline.

Abstract: A motion estimation method and a motion estimator are provided. The motion estimation method includes the following steps of for each respective block of the current frame, selecting a candidate set associated with the current frame and a previous frame, and determining a motion vector according to the candidate set for the each respective block of the current frame. The candidate set includes at least one spatial candidate block in the current frame and temporal candidate blocks in the previous frame. The step of selecting the candidate set includes: selecting the spatial candidate block directly adjacent to the each respective block from the current frame and selecting the plurality of temporal candidate blocks directly adjacent to a reference block from the previous frame.

Abstract: A video decoder receives local quantization information for a current quantization group. The video decoder determines a partitioning of a coding tree unit (CTU) of a picture of the video data into a plurality of coding units (CUs). Additionally, the video decoder derives, based at least in part on the local quantization information for the current quantization group, a quantization parameter. The current quantization group is defined as a group of successive CUs so that boundaries of the current quantization group must be boundaries of the CUs. The current quantization group may or may not be square. Additionally, the video decoder inverse quantizes, based on the quantization parameter, at least one transform coefficient of a current CU being in the current quantization group. The video decoder reconstructs, based on inverse quantized transform coefficients of the current CU, a coding block of the current CU.

Abstract: A driver-assistance method and a driver-assistance apparatus are provided. In the method, a movement trajectory of wheels in surroundings of a vehicle when the vehicle moves are calculated. Multiple cameras disposed on the vehicle are used to capture images of multiple perspective views surrounding the vehicle, and the images of the perspective views are transformed into images of a top view. A synthetic image surrounding the vehicle is generated according to the images of the perspective views and the top view. Finally, the synthetic image and the movement trajectories are mapped and combined to a 3D model surrounding the vehicle and a movement image including the movement trajectories having a viewing angle from an upper rear side to a lower front side of the vehicle is provided by using the 3D model when backing up the vehicle.

Abstract: Performing a graph-based prediction using a graph signal can be performed using a method that includes obtaining a context signal; generating a graph signal based on a graph parameter set; obtaining a graph-based transform matrix based on the graph signal, wherein the graph-based transform matrix includes an eigenvector; obtaining a prediction vector using an optimal transform vector calculated through an optimization function; and generating a prediction signal using the prediction vector, where the optimization function has the context signal, an eigenvalue of a graph Laplacian matrix and the eigenvector as a variable. Accordingly, a prediction value may be obtained with reduced complexity and the prediction performance may be improved.

Abstract: A mounting inspection device includes a missing component inspection device and a foreign object inspection device. The missing component inspection device is for performing missing component inspection of components mounted on a printed circuit board. The foreign object inspection device is for performing foreign object inspection in which foreign objects on a printed circuit board are inspected with regard to the printed circuit board on which a missing component is detected, based on results of the missing component inspection carried out by the missing component inspection device.

Abstract: An apparatus comprises a projector for fixed attachment to a moveable part of an item of furniture, which changes its position and/or orientation relative to a surface in response to a movement of a subject occupying the item of furniture. The projector is arranged to project a pattern onto the surface. At least one camera is arranged to capture sequential images of the surface. A processing unit is arranged to: receive the images from the at least one camera; detect the projected pattern in the received images; detect a change to at least one feature of the projected pattern in the received images; determine whether the detected change satisfies at least one predefined criterion for a subject exit event; and output a signal based on the determining.

Abstract: An inspection device includes: an irradiation unit irradiating an inspection target with light by causing a predetermined position within a display screen to emit light; a captured image acquisition unit acquiring a captured image obtained by imaging the inspection target; a calculation unit calculating coordinates in the display screen corresponding to coordinates in the captured image on the basis of light emission position coordinate information and light reception position coordinate information indicating coordinates of a light emission position and a light reception position; and an inspection pattern creation unit creating an inspection pattern which is displayed on the display screen so that first patterns and second patterns are alternately arranged in the captured image and which is used to inspect presence a defect on a surface of the inspection target, on the basis of a calculation result of the calculation unit.

Abstract: Configurations are disclosed for presenting virtual reality and augmented reality experiences to users. The system may comprise an accommodation tracking module to track an accommodation of a user's eyes, a first variable focus element (VFE) to switch between at least two focal planes, wherein a distance between the two focal planes is relatively consistent, and a second VFE to shift the at least two focal planes based at least in part on the tracked accommodation of the user's eyes.

Abstract: There is provided an image encoding device and an image encoding method, and an image processing device and an image processing method that enable easier bitstream concatenation. A structure according to the present disclosure includes: a setting unit that sets header information related to a hypothetical reference decoder in accordance with information about a position and information about reference, the information about a position and the information about reference being of the current picture of image data to be processed; and an encoding unit that encodes the image data and generates a bitstream containing the encoded data of the image data and the header information set by the setting unit. The present disclosure can be applied to image processing devices or image encoding devices, for example.

Abstract: The disclosure extends to endoscopic devices and systems for image correction of a rotating sensor. The disclosure allows for the distal image sensor to rotate as the user rotates the lumen with respect to a fixed handpiece. The system includes an angle sensor located at the junction of the rotating lumen and the fixed handpiece. Periodic measurements of angle are used in the system's image processing chain in order to effect suitable software image rotations, thereby providing a final displayed image or video stream with the desired orientation.

Abstract: A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier—previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space—and determine the occupancy of the current parking area using an output of the classifier.

Abstract: A land-based automotive vehicle comprising an apparatus for estimating the depth of water about the vehicle. The apparatus comprising at least one light source, at least one imaging means such as a camera mounted to the vehicle and a control unit, the apparatus being structured and arranged such that a first light signal is emitted toward a water surface about the vehicle, the at least one camera is configured for imaging the first light signal and the control unit is configured and arranged to compute from the imagery obtained by the at least one camera an estimation of a depth of water about the vehicle.