Abstract: The invention relates to a method, a computer program product and a machine vision system (30), comprising at least one lighting device (34), at least one image sensor (31 a-c) and a data processing device (32), the system in a first mode illuminating a first object (35) using a first type of illumination and capturing images of the first object at a first image capturing frequency, when the first object (35) is on a second object (33), transmitting the captured image data to the data processing device for analysis, and changing the system for monitoring the second object in a second mode, if absence of the first object on the second object is detected from the image data, wherein said at least one image sensor (31 a-c) is reconfigured to capture images at a second image capturing frequency from the second object.

Abstract: Embodiments relate to a computing device retrieving an augmented map comprising a base map, an augmentation to a first map element, and a flag for the augmentation indicating a scope of the augmentation. The computing device receives an updated base map comprising the base map and an update to a second map element. The computing device performs a difference comparison between the augmented map and the updated base map based on the scope indicated by the flag. The computing device determines whether the augmentation and the update conflict based on the difference comparison. The computing device assembles a set of conflicts based on determination.

Abstract: A terminal participates in a group call based on a Mission Critical Push to Talk (MCPTT) service. The terminal includes a baseband processor and an application processor. In some embodiments, the baseband processor receives an MCPTT service-related message from outside and determines whether to transmit the MCPTT service-related message to the application processor. The baseband processor may make the determination based on the MCPTT service-related message or based on an operation state of the application processor. As a result of the determining, some embodiments include performing, by at least one of the baseband processor and the application processor, MCPTT service-related operations.

Abstract: A method of extracting surfaces in three-dimensional data includes receiving as inputs three-dimensional data and a seed point p located on a surface to be extracted. The method further includes propagating a front outwardly from the seed point p and extracting a plurality of ridge curves based on the propagated front. A surface boundary is detected based on a comparison of distances between adjacent ridge curves and the desired surface is extracted based on the detected surface boundary.

Abstract: There is provided an image processing apparatus including a motion detector that detects motion of an observation target from a hologram of the observation target, a hologram processing unit that extracts a portion of the hologram based on a result obtained by detecting the motion of the observation target, and a reconstruction unit that reconstructs an image from a portion of the extracted hologram.

Abstract: A communication system may comprise an information processing device and a communication device. Communication between the communication device and the information processing device using the first wireless communication scheme may be performed. The communication device may send the connectable network identification information to the information processing device. Communication between the information processing device and the communication device using the second wireless communication scheme and using the second network may be executed, in case that the first network belongs is not included in one or more networks identified by the connectable network identification information. Communication between the information processing device and the communication device using the second wireless communication scheme and using the first network may be executed, in case that the first network is included in the one or more networks identified by the one or more connectable network identification information.

Abstract: Provided is a process, including: receiving a screen capture event from an operating system of a first client computing device of a first user, the screen capture event including, or being associated with, a bitmap image of at least part of a display of the first computing device; causing optical character recognition (OCRing) of text in the bitmap image; classifying each of the n-grams into two or more categories, the two or more categories including a category for confidential information; and for each of the n-grams classified in the category for confidential information, obfuscating the respective n-gram in the bitmap image to form a modified version of the bitmap image.

Abstract: One disclosure of the present specification provides a method for receiving downlink data in a wireless communication system supporting 256 QAM. The method for receiving downlink data in a wireless communication system supporting 256 QAM comprises the steps of: receiving configuration information about power back-off; receiving downlink data transmitted on the basis of the configuration information about power back-off; and demodulating the received downlink data on the basis of the configuration information about power back-off, wherein the configuration information about power back-off may comprise information related to at least one of the following: whether to apply power back-off, the reduced amount of power of downlink data by power back-off, a frame index to which power back-off is applied, a subframe index and a resource to which power back-off is applied.

Abstract: The present disclosure provides a method of providing a hyperspectral image of a scene comprising a point (p).

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: Systems are disclosed for a communication system optimized for low data volume communications. In embodiments of the invention, a terminal in the communication system is configured to communicate with a satellite and a terrestrial hub using the same communications architecture, such as an air interface. In embodiments of the invention, the terminal sends a burst comprising a message to network infrastructure at a pre-scheduled time such that the network infrastructure can derive a terminal identity for the terminal by the time of the burst without having to include terminal identity information in the message. The terminal can communicate with the network infrastructure either through the satellite or through the terrestrial hub.

Abstract: During a period in which it is necessary to display two or more images in a superimposed manner, an image generation block of an information processing apparatus supplies the data of the image concerned to a superimposition processing block. A first image acquisition block and a second image acquisition block of the superimposition processing block acquire a first image and a second image, respectively, to be displayed in a superimposed manner. A luminance range adjustment block adjusts at least one luminance range as required with amount of adjustment corresponding to an alpha (?) value set to the second image. An output value computation block executes the computation of alpha blending by use of the image after adjustment so as to determine the pixel value of a display image, thereby outputting the determined pixel value to an image output block.

Abstract: Disclosed are an image tuning device and an image tuning method. The image tuning method includes the following steps: dividing an image area into a plurality of blocks for executing brightness adjustment individually, in which the blocks include a target block and at least one neighboring block; receiving pixel data of the target block to calculate a target block brightness value; receiving pixel data of the at least one neighboring block to calculate at least one neighboring block brightness value; calculating a calculated brightness value of a target pixel within the target block according to the target block brightness value and the at least one neighboring block brightness value; and generating an adjusted brightness value of the target pixel by adjusting an original brightness value of the target pixel according to the calculated brightness value.

Abstract: A method for determining or updating a registration between a 3D image of a region of interest and a set of at least two 2D images of the same region of interest includes selecting at least one respective contour point in the 3D image for each 2D image. A 2D position of a respective depiction of each contour point is determined in the respective 2D image. At least one condition for the registration parameters that needs to be fulfilled is determined, for each contour point, to map the respective contour point to the respective 2D position in the respective 2D image. An updated set of registration parameters is determined by solving a set of equations or an optimization problem that depends on the conditions.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains a first Magnetic Resonance (MR) image corresponding to a first b-factor and corresponding to each of a plurality of axial directions and to obtain a second MR image corresponding to a second b-factor different from the first b-factor and corresponding to each of the plurality of axial directions. The processing circuitry obtains through a calculation, with respect to each of the axial directions, an MR image as a computed image corresponding to a third b-factor different from the first b-factor and the second b-factor by using the first MR image and the second MR image. The processing circuitry generates a combined image by combining together the plurality of computed images each of which was obtained with respect to a different one of the axial directions.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for detecting a braking behavior of a front vehicle of an autonomous vehicle. A specific implementation of the method comprises: extracting a vehicle image from a vehicle area in an image acquired by the image acquisition device; converting a color space of the vehicle image to generate a first vehicle image; setting a pixel value of a pixel point in the first vehicle image meeting any condition in a preset condition group to a first preset value to generate a second vehicle image; analyzing the second vehicle image to determine a candidate vehicle light area group; and detecting, based on the candidate vehicle light area group, whether a vehicle indicated by the vehicle image is braking, and generating a detection result. The implementation improves the detection efficiency for the braking behavior of the front vehicle.

Abstract: A first network enabled device is in a wireless local area network (WLAN). The first network enabled device determines whether a second network enabled device is present in the WLAN. The first network enabled device executes a rule having a condition based on whether the second network enabled device is present in the WLAN and a resulting action to be performed by the first network enabled device. If the condition is met, the first network enabled device performs the resulting action.

Abstract: Systems, methods, and software described herein provide enhancements for deploying applications in spaceborne and airborne devices. In one example, a satellite device includes one or more sensor systems, a communication interface, and a virtualized execution system. The virtualized execution system is configured to receive state information via the communication interface from at least a peer device related to execution of one or more software payloads by the peer device, and execute one or more virtual nodes based at least on the state information to employ the one or more sensor systems and establish imaging data.

Abstract: A mobile electronic device having a flexible display device is disclosed. A request to retrieve information from a server over a wireless network is triggered based on flexing the flexible display device and other gestures.

Abstract: An encoder artificial neural network (ANN) may be configured to receive an input image patch and produce a feature vector therefrom. The encoder ANN may have been trained with a first plurality of domain training images such that an output image patch visually resembling the input image patch can be generated from the feature vector. A generator ANN may be configured to receive the feature vector and produce a generated image patch from the first feature vector. The generator ANN may have been trained with feature vectors derived from a first plurality of domain training images and a second plurality of generative training images such that the generated image patch visually resembles the input image patch but is constructed of a newly-generated image elements visually resembling one or more image patches from the second plurality of generative training images.