Abstract: A method for calibrating an optical axis of a camera mounted to a movable structure is disclosed. The method includes: for each of two or more standoff distances for the camera: capture, using the camera, image data of a target marker while the movable structure is undergoing rotation about a fixed axis, the target marker being a grid of squares each including unique detectable features; determine a respective center of rotation based on the captured image data; determine a first axis which goes through the centers of rotation; and determine a transform between the first axis and a second axis through the center of output image of the camera.

Abstract: Provided are a method and apparatus for encoding or decoding a 360-degree image. According to an image decoding method and apparatus according to an embodiment, an original 360-degree image is reconstructed by acquiring image data from a bitstream, decoding a projection image of a 360-degree image from the image data, converting the projection image into the 360-degree image, acquiring rotation information of the 360-degree image from the bitstream, and rotating the 360-degree image based on the rotation information.

Abstract: An image processing method for processing a first image captured by a camera is provided, in which the first image is retrieved; and an output image is output to an image output circuit after the first image is modified to the output image, wherein a result value of each pixel of the output image is zero or a value generated by subtracting the threshold value from the brightness value of each pixel of the first image.

Abstract: In order to support the setting of a processing target region, a setting apparatus comprises: a first setting unit configured to set a first region which is to be a target of predetermined processing in a captured region; a second setting unit configured to set a second region which is to be excluded from the target of predetermined processing in the captured region; and a restricting unit configured to restrict a settable range of a region in at least one of the first setting unit and the second setting unit. In a case in which the other region of the first region and the second region is to be set after one region among the first region and the second region has been set, the restricting unit restricts the settable range of the other region based on the one region.

Abstract: The present invention enables efficient decoding by using DR mapping information between a base layer and an enhancement layer in various manners in an HDR decoder considering backward compatibility.

Abstract: An imaging apparatus is attached to a side of a moving body (for example, vehicle). The imaging apparatus includes an image sensor and an optical system that forms a subject image in a range of a predetermined vertical view angle and a predetermined horizontal view angle on an imaging surface. The optical system forms an image on the imaging surface so as to cause resolution in first region (R1) of the imaging surface to be higher than resolution in second region (R2) different from the first region. A position of center (G1) of first region (R1) is at least one of a position horizontally shifted from a center of the horizontal view angle and a position vertically shifted from a center of the vertical view angle.

Abstract: The present application discloses a method for processing an image, an image processing apparatus, a multi-camera photographing apparatus and an aerial vehicle. A first image photographed by a first lens module is obtained, the first image including a target object; then a second image photographed by a second lens module is obtained; and image processing is performed on the first image and the second image, and an output image is generated, so that a range in a large-perspective scene and precision of the target object in a small-perspective scene can be both combined.

Abstract: A method of processing video signal according to a present invention comprises determining a transform set for a current block comprising a plurality of transform type candidates, determining a transform type of the current block from the plurality of transform type candidates and performing an inverse transform for the current block based on the transform type of the current block.

Abstract: A system performs calibration of sensors mounted on a vehicle, for example, lidar and camera sensors mounted on a vehicle, for example, an autonomous vehicle. The system receives a lidar scan and camera image of a view and determines a lidar-to-camera transform based on the lidar scan and the camera image. The system may use a pattern, for example, a checkerboard pattern in the view for calibration. The pattern is placed close to the vehicle to determine an approximate lidar-to-camera transform and then placed at a distance from the vehicle to determine an accurate lidar-to-camera transform. Alternatively, the system determines edges in the lidar scan and the camera image and aligns features based on real-world objects in the scene by comparing edges.

Abstract: An example method includes coding a value of a motion vector difference (MVD) for a current block of video data; obtaining, from a motion vector (MV) buffer, a value of a motion vector predictor (MVP) for the current block of video data; determining a resolution of the value of the MVD for the current block; obtaining a storage resolution shift amount for MVs; rounding, based on the storage resolution shift amount, the value of the MVD obtained from the MV buffer directly to the resolution of the value of the MVD; adding the rounded value of the MVP to the value of the MVD to obtain a value of a MV for the current block; obtaining, based on the MV for the current block, samples of a predictor block for the current block; and reconstructing samples of the current block based on the samples of the predictor block.

Abstract: A panoramic camera is provided with an orientation sensor to record orientation along with a panoramic image. The display or print image is selected from the captured panoramic image, a warped, non-scale-correct image. The selection of the display image is done using the orientation sensor. The orientation sensor data can be recorded with the panoramic image as metadata. The orientation sensor can also be used to control an external display and/or panoramic image selection during browsing.

Abstract: A method for video decoding is disclosed. A directional intra prediction mode is decoded (910) for a current block of a picture in a video, said directional intra prediction mode having a direction. Based on said directional intra prediction mode, a first predictor for a sample is accessed (7010), the sample being within said current block. Based on said directional intra prediction mode, a second predictor for said sample, is accessed (7020) said first and second predictors being on a line at least approximating said direction. A sample value of said sample is predicted (7030) by using said first and second predictors; and said sample of said current block is reconstructed (965) based on said predicted sample value.

Abstract: An electronic circuit includes a block determinator, a candidate selector, and a motion vector generator to perform motion estimation. The block determinator determines a current block and candidate blocks with regard to each of decimated images generated from an original image, wherein the block determinator determines first candidate blocks based on a location of the current block without a full search for all pixels with regard to a first decimated image of the lowest resolution. The candidate selector selects second candidate blocks which are some of the first candidate blocks with regard to a second decimated image of the highest resolution, such that the block determinator determines the second candidate blocks with regard to the original image. The motion vector generator generates a motion vector for the current block based on one reference patch determined from reference patches indicated by candidate motion vectors of the second candidate blocks.

Abstract: A security system and method for collecting and analyzing thermal data to save power and identify persons. The security system includes a processor with connected processor and one or more additional devices such as an alarm, lighting device or visual light camera. When the security system is in a low power sleep mode, the thermal sensor detects and collects thermal data from a thermal object body and the processor determines if the collected thermal data matches predefined parameters for a thermal body and then activates any one of one or more of the connected additional devices based on the match. The system is then operational to collect visual data and process the collected thermal and visual data to match against stored profiles. The thermal data may be collected at low or no light conditions to determine the need to power up the system to collect visual data.

Abstract: A device may be configured to signal information (for example, is_stereo_content_flag, remaining_right_area_flag, remaining_both_area_flag, num_both_regions and num_right_regions associated with the relative quality of regions in an omni-directional video.

Abstract: Disclosed is an electronic apparatus including a first camera, a second camera, and a processor. The first camera includes a first FOV. The second camera includes a second FOV corresponding to part of the first FOV. The processor is configured to obtain a request associated with biometric authentication. The processor is configured obtain at least one first image using the first camera and at least one second image using the second camera. The processor is configured to identify a first external object that is included in the at least first image while obtaining the first image. While obtaining the at least one second image, the processor is configured to provide notification information for obtaining at least one image including the second external object when the second external object that is at least part of the first external object, is not included in the at least second image.

Abstract: A mobile body surroundings display method is performed by a mobile body surroundings display apparatus that includes an image capturing element that acquires surroundings information on a mobile body by image capturing, a controller that creates a captured image using the surroundings information and a virtual image representing a situation around the mobile body, and a display that displays the virtual image. The method detects an attention-required range around the mobile body, creates a captured image of the attention-required range, and displays the captured image of the attention-required range on the display.

Abstract: Particular embodiments described herein provide for an electronic device that can be configured to identify a frame in a video stream, process a pixel row in the frame using a display engine to create blended and/or composited pixels, determine a coding unit (CU) row in the frame an encoder is encoding, determine if a distance between the pixel row in the frame and the CU row in the frame satisfies a threshold, and store the blended and/or composited pixels from the display engine in a cache if the threshold is satisfied or store the blended and/or composited pixels in memory if the threshold is not satisfied.

Abstract: A method of determining a presence of a wire-edge at the site of an internal edge of a ring surface of a ring of a container includes lighting of the ring surface of the container from above using a radial light beam at 360 and observing the ring surface according to a peripheral observation field. A first principal circle is formed in a first image zone. At least one secondary arc of a circle concentric to the first so-called principal circle, and radially offset relative to the latter is also formed in the first image zone. The first so-called principal circle and any first secondary arc of a circle are searched using the first image zone. A device for executing the determining method is provided along with a line including the device.

Abstract: Systems and methods are provided for hybrid video encoding. An example method includes: acquiring image information; extracting a background image based at least in part on the image information; detecting whether the background image is stable; and performing encoding switching between a background-based encoding method and a non-background encoding method based at least in part on the detection.