Abstract: A spectroscopic laser sensor based on hybrid III-V/IV system-on-a-chip technology. The laser sensor is configured to either (i) be used with a fiber-optic probe connected to an intravenous/intra-arterial optical catheter for direct invasive blood analyte concentration level measurement or (ii) be used to measure blood analyte concentration level non-invasively through an optical interface attached, e.g., to the skin or fingernail bed of a human. The sensor includes a III-V gain-chip, e.g., an AlGaInAsSb/GaSb based gain-chip, and a photonic integrated circuit, with laser wavelength filtering, laser wavelength tuning, laser wavelength monitoring, laser signal monitoring and signal output sections realized on a chip by combining IV-based semiconductor substrates and flip-chip AlGa1-nAsSb/GaSb based photodetectors and embedded electronics for signal processing.

Abstract: The in-vehicle device transfers the selected image selected by the user from the photographed images stored in the storage device and the selected vehicle state, which is the vehicle state when the selected image is captured, to the portable device. The portable device executes a portable side determination process for determining whether or not the selected image is a rare image by using the selected image and the selected vehicle state, and transmits the selected image determined to be a rare image by the portable side determination process and the selected vehicle state to the image management server only when the transmission is permitted by the user. The image management server stores the selected image and the selected vehicle state transmitted from the portable device in the image storage device.

Abstract: Systems and methods for projecting a multi-faceted image onto a convex polyhedron based on an input image are described. A system can include a controller configured to determine a mapping between pixels within a wide-angle image and a multi-faceted image, and generate the multi-faceted image based on the mapping.

Abstract: To provide a novel and improved information processing device that can make more efficient an inspection performed by a flying body capable of performing imaging. Provided is an information processing device including an imaging position information acquisition unit configured to acquire imaging position information at a time when a structure is imaged which is acquired by an imaging device configured to fly over a periphery of die structure to image the structure on the basis of certain flight information, and a damage data generating unit configured to use a captured image of the structure imaged by the imaging device and the imaging position information and to generate data related to damage of the structure including position information of damage of the structure included in the captured image.

Abstract: Techniques for reducing a likelihood of detection of an imaging system by another imaging system are provided. For example, the techniques may include controlling read-out such that the timings between frames of an image are non-uniform. For example, a processor may be configured to generate a plurality of frame synchronization signals from a main clock and transmit the plurality of frame synchronization signals to readout circuitry. Each frame synchronization signal is an instruction to start the biasing and reading for a respective frame. The plurality of frame synchronization signals may be generated such that a timing between pulse biasing the same thermal sensor is not uniform. The techniques may also include controlling the read-out such that the timings between lines within a frame are non-uniform which also results in the timing between pulse biasing of the same thermal sensor not being uniform.

Abstract: A system uses range and Doppler velocity measurements from a lidar system and images from a video system to estimate a six degree-of-freedom trajectory of a target and generate a three-dimensional image of the target. The system may refine the three-dimensional image by reducing the stochastic components in the transformation parameters between video frame times.

Abstract: The disclosure discloses a method for processing video signals and an apparatus therefor. Specifically, the method of processing video signals based on inter prediction, comprising: configuring a merge candidate list based on a spatial neighboring block and a temporal neighboring block to a current block; adding a history-based merge candidate of the current block to the merge candidate list; obtaining a merge index indicating a merge candidate used for an inter prediction of the current block within the merge candidate list; generating a prediction sample of the current block based on motion information of the merge candidate indicated by the merge index; and updating a history-based merge candidate list based on the motion information.

Abstract: An image adjustment system includes a camera, an image adjustment device, an image display device, and a controller. The image display device displays a captured image adjusted by the image adjustment device. The image adjustment device includes an image generator and an image processor. The image generator generates a spherical surface image. The image processor acquires the spherical surface image from the image generator to display the spherical surface image on the image display device on the basis of instruction information output from the controller. The image processor rotates the spherical surface image on the basis of the instruction information. The image processor adjusts a right-eye image or a left-eye image of the captured image displayed on the image display device in accordance with a rotation of the spherical surface image.

Abstract: Particular embodiments provide a variable, BitDepth, that may be set at a value based on a number of bits used to represent pixels in pictures of a video. The variable may be used in syntax elements in HEVC, such as the HEVC range extension, but other coding standards may be used. By using the variable, different resolutions for the video may be accommodated during the encoding and decoding process. For example, the number of pixels in the pictures may be represented by 8 bits, 10 bits, 12 bits, or another number of bits depending on the resolution. Using the BitDepth variable in the syntax provides flexibility in the motion estimation and motion compensation process. For example, syntax elements used in the weighted prediction process may take into account different numbers of bits used to represent the pictures.

Abstract: A display system for a paving machine can include a plurality of cameras configured to provide a 360° bird's-eye view of a paving machine and an area surrounding the paving machine; a display operatively coupled to the plurality of cameras showing the 360° bird's-eye view; and a controller coupled to the display, the controller further coupled to a sensor on the paving machine positioned to measure a height of a paving material at one or more locations on the paving machine, wherein when the material height falls below a pre-determined level, the controller sends a warning to the display such that the display shows the 360° bird's-eye view with the material height warning incorporated into the display.

Abstract: A first nest structure and a second nest structure are brought into alignment. When the alignment of the first nest structure and second nest structure is obtained, the operation of at least one vacuum pump is controlled such that a bearing element is released from the first nest structure and secured in the second nest structure. Movement of the bearing element from the first nest structure to the second nest structure occurs without slippage resulting in preservation of a common frame of reference used when the bearing element is in the first nest structure and the second nest structure.

Abstract: A system for determining a person's field of view with respect to captured data (e.g., recorded audiovisual data). A multi-camera capture system (e.g. bodycam, vehicular camera, stereoscopic, 360-degree captures system) records audiovisual data of an event. The field of capture of a capture system or a field of capture of captured data combined from multiple capture systems may be greater than the field of view of a person. Facial features (e.g. eyes, ears, nose, and jawlines) of the person may be detected from the captured data. Facial features may be used to determine the field of view of the person with respect to the captured data. Sensors that detect head orientation may be used to determine the field of view of the person with respect to captured data. The field of view of the person may be shown with respect to the captured data when the captured data is played back.

Abstract: This method comprises: —accessing (2) a point cloud (PC) comprising a plurality of points defined by attributes, said attributes including a spatial position of a point in a 3D space and at least one feature of the point;—segmenting (2) the point cloud into one or more clusters (Ci) of points on the basis of the attributes of the points; and for at least one cluster (Ci):—constructing (4) a similarity graph having a plurality of vertices and at least one edge, the similarity graph representing a similarity among neighboring points of the cluster (Ci) in terms of the attributes, the plurality of vertices including vertices Pi and Pj corresponding to points of the cluster (Ci);—assigning one or more weights wi,j to one or more edges connecting vertices Pi and Pj of the graph;—computing (6) a transform using the one or more assigned weights, said transform being characterized by coefficients; and—quantizing (8) and encoding (10) the transform coefficients.

Abstract: The present disclosure provides a method for distance measurement based on a binocular camera, a system for distance measurement based on a binocular camera, a device and a computer-readable storage medium. The method includes: taking N images of a distance measurement marker placed at each of Z positions in a depth direction of the binocular camera; calculating an average disparity of the distance measurement marker at the middle position, the left side position and the right side position at each of the Z positions; calculating a distance measurement value at each of the Z positions in the depth direction; calculating a distance measurement error value at the middle position, the left side position and the right side position at each of the Z positions, and acquiring a total error cost function; and calculating extrinsic parameters, so as to acquire a distance measurement result in the depth direction.

Abstract: When it is determined that a presence of a traffic light is not recognized in an image acquired by a first image acquisition operation by a camera, the presence of the traffic light is recognized in an image acquired by a second image acquisition operation in which a recognition accuracy of the presence of the traffic light is improved. In this second image acquisition operation, it is assumed that a pedestrian is stopped in front of a pedestrian crossing, and there is little demand for increasing a detection speed of objects such as moving objects present in a surrounding area. Thus, it is possible to sufficiently obtain the recognition accuracy of the traffic light by the second image acquisition operation that gives priority to the recognition accuracy of the presence of the traffic light.

Abstract: An example arial image capture system captures a sequence of images from a camera attached to a flight vehicle while the flight vehicle moves in a lateral direction relative to underlying terrain and while concurrently rotating the camera along a circular path about an axis of rotation. The rotation of the camera controllably alters the camera's field-of-view to trace a curved swath of the underlying terrain with each rotation period of the camera around an area external to the camera's field-of-view.

Abstract: The present invention relates to an apparatus and a method of acquiring an image for dental diagnosis. More particularly, the present invention relates to an apparatus and a method of acquiring a near-infrared image for dental diagnosis, wherein an image for dental diagnosis is acquired using near-infrared radiation and a general image camera rather than using X-rays.

Abstract: The present disclosure relates to motion vector refinement. As a first step, an initial motion vector and a template for the block are obtained. Then, the refinement of the initial motion vector is determined by template matching with said template in a search space. The search space is located on a position given by the initial motion vector and includes one or more fractional sample positions, wherein each of fractional sample positions belonging to the search space is obtained by interpolation filtering with a filter of a predefined tap-size assessing integer samples only within a window, said window being formed by integer samples accessible for the template matching in said search space.

Abstract: A method for transforming high dynamic range (HDR) video data into standard dynamic range (SDR) video data and encoding the SDR video data so that the HDR video data may be recovered at the decoder includes generating a tone map describing a transformation applied to the HDR video data to generate the SDR video data. The generated tone map describes the transformation as the multiplication of each HDR pixel in the HDR video data by a scalar to generate the SDR video data. The tone map is then modeled as a reshaping transfer function and the HDR video data is processed by the reshaping transfer function to generate the SDR video data. The reshaping transfer function is then inverted and described in a self-referential metadata structure. The SDR video data is then encoded including the metadata structure defining the inverse reshaping transfer function.

Abstract: A method for decoding a picture block is disclosed. The decoding method comprises: reconstructing reference picture from another reference picture of a decoder picture buffer of a first layer of a multi-layered stream and from data decoded from a second layer of said multi-layered stream and storing said reference picture in a decoder picture buffer of said second layer, wherein said reference picture is indicated as not to be displayed; decoding a flag indicating that a subsequently decoded picture of the second layer is not using any inter-layer prediction; and reconstructing a picture block of said subsequently decoded picture at least from said reference picture.