Abstract: Provided are a method and an apparatus for determining an optimal rotation angle during compression of a spherical multimedia content where the processor may receive first multimedia content corresponding to the spherical multimedia content, generate a plurality of second multimedia contents based on the first multimedia content by rotating the first multimedia content to a plurality of rotation angles, perform an edge analysis on each of the plurality of the second multimedia contents, identify the number of edges aligned to one of a vertical axis or a horizontal axis based on the edge analysis, select second multimedia content with the maximum number of edges, and determine an optimal rotation angle.

Abstract: Provided is an imaging device and an apparatus that can obtain an appropriate captured image that allows recognition of an object even when a flicker phenomenon is occurring. Provided is an imaging device including a detection unit that detects a blinking object or an object lit by a blinking illuminator, a tracking unit that performs tracking on the detected object, an estimation unit that estimates period information of the blinking, on the basis of a plurality of imaging frames of the tracked object, and a signal generation unit that generates a timing signal for capturing the object, on the basis of the estimation result.

Abstract: The invention relates to a method, a device and an inspection line for determining the three-dimensional geometry of a container ring surface, including the formation, by two optical systems (24, 24?), of two images of the ring surface of the container, according to two peripheral observation fields having a first and a second observation elevation angle (?1, ?2) different from each other.

Abstract: A slip angle estimation device for a vehicle comprises an imaging device for capturing an image of at least one of the front and the rear of the vehicle and a control unit. The imaging device is a CCD camera including a lens and an imaging sensor. The control unit is configured to determine a plurality of tracking points for a plurality of captured objects, determine an optical flow for the plurality of tracking points based on two images captured at predetermined elapsed time intervals, determine a vanishing point based on intersections of the plurality of optical flows, and calculate a slip angle of the vehicle based on a ratio of a horizontal distance between an image center and the vanishing point to a distance between a lens center of the CCD camera and an imaging sensor.

Abstract: An object of the present invention is to improve the image quality of images obtained during travelling even in inferior environmental conditions. A camera 101-1 is mounted in a train 1-1, and a camera 101-2 is mounted in a train 1-2. Each of the camera 101-1 and the camera 101-2 images the same physical object at different times while moving along the same track 5. A processing apparatus 2 generates a synthetic image 7 by synthesizing images related to the same physical object imaged by the cameras 101-1 and 101-2 while moving along the same track 5, and displays the same on a display screen 2A.

Abstract: An antenna including a magnetic core made of a soft-magnetic non-electro conductive material, including four corner protuberances defining two orthogonal winding channels around the magnetic core; X-winding (DX), Y-winding (DY) and Z-winding (DZ) of conductive wire orthogonal to one another wound around the magnetic core, wherein the antenna further has a first soft magnetic sheet attached superimposed on said four corner protuberances of the magnetic core providing a limiting edge for the Z-winding (DZ), so that an increase of the sensitivity of the Z-winding (DZ) and a reduced thickness of the antenna in the Z-axis (Z) direction are obtained.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for associating a new measurement of an object surrounding a vehicle with a maintained track. One of the methods includes receiving an object track for a particular object, receiving a new measurement characterizing a new object at a new time step, and determining whether the new object is the same as the particular object, comprising: generating a representation of the new object at the new and preceding time steps; generating a representation of the particular object at the new and preceding time steps; processing a first network input comprising the representations using a first neural network to generate an embedding of the first network input; and processing the embedding of the first network input using a second neural network to generate a predicted likelihood that the new object and the particular object are the same.

Abstract: The present disclosure relates to the field of medical monitoring, and, in particular, to non-contact detecting and monitoring of patient breathing. Systems, methods, and computer readable media are described for calculating a change in depth of regions in one or more regions of interest (ROI's) on a patient and assigning one or more visual indicators to the regions based on the calculated changes in depth of the regions over time. In some embodiments, one or more breathing parameter signals corresponding to the regions can be generated and/or analyzed. In these and other embodiments, the one or more visual indicators can be displayed overlaid onto the regions in real-time. In these and still other embodiments, the systems, methods, and/or computer readable media (i) can display one or more generated breathing parameter signals in real-time and/or (ii) can trigger an alert and/or an alarm when a breathing abnormality is detected.

Abstract: In an apparatus for assisting a driver of a vehicle in driving the vehicle, a road sign recognizer is configured to recognize a road sign from an image captured by a vehicle-mounted imager. A turn detector is configured to detect a turning action of the vehicle. A notifier is configured to notify the driver of the vehicle of road sign information representing the road sign recognized by the road sign recognizer. The notifier is further configured to, if the turning action of the vehicle is detected by the turn detector, withhold notifying the driver of the vehicle of the road sign information representing the road sign recognized by the road sign recognizer within a predetermined period of time during the turning action.

Abstract: A vehicle control device controlling a vehicle capable of switching between an automatic driving mode and a driver involvement mode in which a driver is involved includes a blind spot boundary specifying unit configured to specify a boundary of a region becoming a blind spot of the vehicle, a traveling plan generation unit configured to generate a traveling plan in which the vehicle does not collide with a moving body assumed to be positioned on the blind spot boundary specified by the blind spot boundary specifying unit, a determination unit configured to determine whether or not the traveling plan generated by the traveling plan generation unit satisfies a predetermined condition, and a switching unit configured to switch the vehicle from the automatic driving mode to the driver involvement mode when the determination unit determines that the traveling plan satisfies the predetermined condition.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for drone base station detection. In some implementations, a drone including a camera that is configured to generate image data and one or more processors and one or more storage devices storing instructions that are operable. The instructions include receiving the image data from the camera, identifying at least four objects in the image data, determining a first distance between a first object and a second object, determining a second distance between a third object and a fourth object, determining a third distance between the second object and the third object, and based on the first distance, the second distance, and the third distance, determining a location of the drone.

Abstract: The system for lighting control may include a non-transitory storage medium storing executable instructions for lighting control, a communication component operatively connected to the non-transitory storage medium, at least one imaging device configured to capture images related to an area, and one or more illuminating device configured to light the area. The system may also include at least one processor in communication with the non-transitory storage medium. When executing the set of instructions, the at least one processor may cause the system to obtain image data relating to an area captured by the at least imaging device and determine at least one parameter relating to at least one of the one or more illuminating devices. The system may further include a control component configured to operate the at least one of the one or more illuminating devices to light the area based on the determined at least one parameter.

Abstract: A stereo camera calibration method includes: obtaining a stereo image generated by imaging a chart using a stereo camera, the chart at least including two markers arranged at a known interval; measuring the known interval, using the stereo image and a calibration parameter for the stereo camera; and correcting a parameter pertaining to an optical axis position so as to reduce a difference between the known interval and a result of the measurement. The correcting includes performing a process corresponding to moving the optical axis position in perpendicular and lateral directions on an imaging surface of the stereo camera. The correcting includes calculating a perpendicular correction amount of the optical axis position, and then calculating a lateral correction amount of the optical axis position.

Abstract: A sufficient decoding processing time for each image acquired by performing high-speed imaging is secured to obtain a stable reading result, thereby enabling immediate output of the obtained reading result. A processing unit has a first core and a plurality of second cores. The first core instructs the second cores, presumed to be capable of immediately executing the decoding process or executing the decoding process next to a decoding process being currently executed, to execute the decoding process. The second cores are configured to be capable of simultaneously executing the decoding process on read images instructed by the first core at different timings.

Abstract: In some examples, a system may receive, from a merchant device, an indication of a transaction between a merchant and a customer, including transaction information associated with the transaction. The system may further receive, from the merchant device, a signal from a customer device associated with the customer and received by the merchant device. Based on the transaction information, the system may determine a previous signal previously received from the customer device, and at least one previous parameter associated with the previous signal. The system determines at least one parameter associated with the received signal and determines a presence indication based on comparing the previous parameter and the determined parameter. For example, the presence indication may be indicative of the customer device being physically present at or near a geographical location of the merchant device. Based on the presence indication, the system may send an instruction to process the transaction.

Abstract: A speech input method that includes: detecting whether a user's face is in proximity to a speech input device including at least one microphone; and performing correction processing on an audio signal obtained through sound collection by the at least one microphone when it is detected that the user's face is in proximity to the speech input device.

Abstract: A computing machine accesses conventional image data comprising a photograph of a first person. The computing machine converts, using a conventional image neural network adapter engine, the conventional image data into a model data format representing the first person, wherein the model data format is a format that is standardized for both conventional image data and stereo pair image data. The computing machine generates, using a biometric task neural network engine and based on the model data format data representing the first person, a task output representing the first person. The computing machine transmits a representation of the task output representing the first person.

Abstract: Embodiments of the present invention provide a human-machine interface (HMI) for a vehicle, comprising an output means (40, 50) for outputting information, passenger monitoring means (20) for determining a status of at least one passenger within the vehicle and to outputting a passenger status signal indicative thereof, control means (10) for determining an operating state of one or more systems of the vehicle, wherein the control means (10) is arranged to receive the passenger status signal, and wherein the control means (10) is arranged to compose an output from the output means (40, 50) in dependence on the operating state of the one or more systems and the passenger status signal.

Abstract: A measurement apparatus operable to perform measurement concerning a predetermined item for a target subject which is a measurement target. The apparatus comprises an acquisition unit configured to, for a captured image acquired by capturing of an image capturing range that includes the target subject, acquire distance information indicating a distribution of a subject distance from an image capturing apparatus that performed the capturing and, at least, normal line information that indicates a normal line of a surface of the target subject; and a presentation unit configured to present a notification that indicates an image capturing direction of the image capturing apparatus for performing measurement of the predetermined item based on the normal line information acquired by the acquisition unit.

Abstract: One embodiment of the present disclosure sets forth a technique for determining the location of an object with a haptic transducer device. The technique includes configuring one or more haptic transducer devices to output a ping. The technique further includes configuring the one or more haptic transducer devices to detect a ping echo associated with the ping. The technique further includes identifying a location of an object based on the ping echo. The technique further includes configuring the one or more haptic transducer devices to generate haptic output based on the location of the object.

Abstract: A system (100) detects hazardous situations in a medical setting. A sensor unit (110) has optical sensors (112) to determine a sensor signal (114), and to output same in real time, which includes sensor data indicating a sequence of three-dimensional views of a monitored area (102) over a monitoring time. A processor unit (12) identifies a number of objects (122) to be protected based on the three-dimensional views, detects hazardous objects (124) based on the three-dimensional views, determines a number of object pairs (105), monitors positions of the protected objects and hazardous objects of the object pair over the monitoring time, assigns hazard values to the object pairs, calculates current hazard values for object pairs up to a current time over an analysis time interval and outputs a corresponding alarm signal (126) if a calculated hazard exceeds a threshold value. An output unit (130) triggers an alarm.

Abstract: A method for driving a first vehicle based on information received from a second vehicle, the method may include receiving, by the first vehicle, acquired image information regarding (a) a signature of an acquired image that was acquired by the second vehicle, (b) a location of acquisition of the acquired image; extracting, from the acquired image information, information about objects within the acquired image; and preforming a driving related operation of the first vehicle based on the information about objects within the acquired image.

Abstract: A method, system and computer program product for providing video privacy is provided herein. First video data captured by a video camera is received. A context for the first video data is determined. It is determined that the context matches a privacy context from a set of privacy contexts identified using machine learning. In response to the context matching the privacy context, at least a portion of second video data is blocked that is captured by the video camera subsequent to the first video data.

Abstract: A pool cleaning system for cleaning debris from a submerged surface of a swimming pool includes a self-propelled pool cleaner having rotatably-mounted supports for supporting and guiding the cleaner on the pool surface; an electric motor for enabling the rotation of the rotatably-mounted supports on the pool surface; at least one camera to capture imagery of the pool surface; a controller, in electronic communication with the at least one camera, to determine a cleanliness characteristic of the pool surface on which the cleaner has passed based on the camera imagery and generate a control signal to direct movement of the cleaner based on the cleanliness characteristic of the pool surface, and a portable electronic device configured to present a graphic on a display, the graphic depicting the submerged surface of the pool and those portions of the surface that remain uncleaned as the cleaner traverses the pool surface.

Abstract: Image recognition method and apparatus, and computer-readable storage medium are provided. The method includes: determining changed object according to change of states of at least one group of target objects in detection area; obtaining a set of image frames in side view consisting of image frames in side view and at least one image frame to be matched that are collected within a first preset time period before states of at least one group of target objects in detection area are changed; determining associated image frame from at least one image frame to be matched; obtaining image frame in side view corresponding to associated image frame from the set of image frame in side view; and determining, according to associated image frame and the image frame in the side view, target intervention object having the highest degree of association with changed object from at least one intervention object.

Abstract: The present disclosure relates to a goods information obtaining device, a shelf, a shelf managing system and a method. A goods information obtaining device for obtaining goods information within a shelf unit, includes: at least one reflector; and at least one image sensor for sensing a reflection image of goods within the shelf unit that are reflected one or more times by the at least one reflector.

Abstract: A method for image dehazing based on adaptively improved linear global atmospheric light of a dark channel. A haze image in haze weather is first obtained, a variation angle of atmospheric light of the image is obtain through calculating a slope of a connection line between a center and a center of gravity of a binary image of the image, a linear atmospheric light map that varies regularly along a variation direction of the atmospheric light is obtains, a dehazed image is solved through an atmospheric scattering model, and then a processed haze image taken in the haze weather is output.

Abstract: Time of Flight (ToF) image processing systems and methods for proximity detection are disclosed. In particular, use of a separate proximity detector can be eliminated by using the time of flight image processing system as disclosed herein. In particular, the time of flight image processing system has two modes: a low resolution proximity detection mode and a high resolution imaging mode.

Abstract: Embodiments of this disclosure provide a recognition method and apparatus for false detection of an abandoned object and an image processing device. The method includes: performing foreground detection on a current frame image, so as to obtain a foreground image of the current frame image, the foreground image comprising an abandoned object foreground image; clustering contours in the abandoned object foreground image into a group, and take the group as a candidate region of an abandoned object; and comparing the candidate region of the abandoned object with a reference background image, judging whether the candidate region of the abandoned object is matched with the reference background image, and a match, deeming that the abandoned object is false detection.

Abstract: A three-dimension measurement device includes a moving device, a projecting device, a surface-type image-capturing device and a processing device. The moving device carries an object, and moves the object to a plurality of positions. The projecting device generates a first light to the object. The surface-type image-capturing device senses a second light generated by the object in response to the first light to generate a phase image on each of the positions. The processing device is coupled to the surface-type image-capturing device and receives the phase images. The processing device performs a region-of-interest (ROI) operation for the phase images to generate a plurality of ROI images. The processing device performs a multi-step phase-shifting operation for the ROI images to calculate the surface height distribution of the object.

Abstract: Examples of the present disclosure describe systems and methods of personalizing natural language systems. In aspects, personal data may be uploaded to a personalization server. Upon receiving a data request, a server device may query the personalization server using a user's login information. The login data and the associated personal data may be paired and provided to the personalization server. The paired data may then be provided to a language understanding model to generate a response to the data request. The data in the response may be used to train the language understanding model.

Abstract: There is provided a navigation device including an image sensor and a processor. The image sensor outputs a reference frame and a comparison frame. The processor calculates a correlation search window by changing a relative position of the comparison frame with respect to the reference frame. The processor ignores a part of pixel data of the comparison frame without being processed while calculating each correlation value of the correlation search window to reduce total computation load.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a first channel, a second channel, a physical control interface, and a processor in communication with the physical control interface. The first channel provides a virtual image. The second channel provides a second image. The physical control interface receives the first channel and the second channel. The processor mixes a view of the virtual image and the second image based on a setting of the physical control interface.

Abstract: A wearable computing system that includes a head-mounted display implements a gaze timer feature for enabling the user to temporarily extend the functionality of a handheld controller or other user input device. In one embodiment, when the user gazes at, or in the vicinity of, a handheld controller for a predetermined period of time, the functionality of one or more input elements (e.g., buttons) of the handheld controller is temporarily modified. For example, the function associated with a particular controller button may be modified to enable the user to open a particular menu using the button. The gaze timer feature may, for example, be used to augment the functionality of a handheld controller or other user input device during mixed reality and/or augmented reality sessions.

Abstract: The disclosure describes various embodiments of validating data synchronization between an active sensor and a passive sensor. According to an exemplary method of validating sensor synchronization between an active sensor and a passive sensor, a synchronization device receives a first signal from the active sensor, the first signal indicating that the active sensor has transmitted laser points to a measure board. In response to the first signal, the synchronization device transmits a second signal to the passive sensor to trigger the passive sensor to capture an image of the measure board. A synchronization validation application can perform an analysis of the image of the measure board in view of timing of the first signal and second signal to determine whether the passive sensor and the active sensor are synchronized with each other.

Abstract: An augmented-reality system is combined with a surveying system to make measurement and/or layout at a construction site more efficient. A reflector can be mounted to a wearable device having an augmented-reality system. A total station can be used to track a reflector, and truth can be transferred to the wearable device while an obstruction is between the total station and the reflector. Further, a target can be used to orient a local map of a wearable device to an environment based on a distance between the target and the wearable device.

Abstract: A movable carrier auxiliary system includes at least two optical image capturing systems respectively disposed on a left portion and a right portion of a movable carrier. Each optical image capturing system includes an image capturing module, an operation module, at least one warning module, and at least one displaying device, and has at least one lens group including at least two lenses having refractive power. The image capturing module captures and produces an environmental image surrounding the movable carrier. The operation module electrically connected to the image capturing module detects at least one moving object in the environmental image to generate a detecting signal. The warning module electrically connected to the operation module receives the detecting signal, and generates a warning signal when determines that the moving object approach to the movable carrier. The displaying device is electrically connected to the warning module to display the warning signal.

Abstract: An image sensor includes a substrate, thin lenses disposed on a first surface of the substrate and configured to concentrate lights incident on the first surface, and light-sensing cells disposed on a second surface of the substrate, the second surface facing the first surface, and the light-sensing cells being configured to sense lights passing through the thin lenses, and generate electrical signals based on the sensed lights. A first thin lens and second thin lens of the thin lenses are configured to concentrate a first light and a second light, respectively, of the incident lights onto the light-sensing cells, the first light having a different wavelength than the second light.

Abstract: Disclosed is a method to derive the absorption coefficient, transparency, and/or the scattering coefficient from the user-specified parameters including roughness, phase function, index of refraction (IOR), and color by performing the simulation once, and storing the results of the simulation in an easy to retrieve representation, such as a lookup table, or an analytic function. To create the analytic function, one or more analytic functions can be fitted to the results of the simulation for the multiple parameters including roughness, phase function, IOR, and color. The lookup table can be combined with the analytic representation. For example, the lookup table can be used to represent the color, roughness, and phase function, while the IOR can be represented by an analytic function. For example, when the IOR is above 2, the lookup table becomes three-dimensional and the IOR is calculated using the analytic function.

Abstract: Disclosed is a method to derive the absorption coefficient, transparency, and/or the scattering coefficient from the user-specified parameters including roughness, phase function, index of refraction (IOR), and color by performing the simulation once, and storing the results of the simulation in an easy to retrieve representation, such as a lookup table, or an analytic function. To create the analytic function, one or more analytic functions can be fitted to the results of the simulation for the multiple parameters including roughness, phase function, IOR, and color. The lookup table can be combined with the analytic representation. For example, the lookup table can be used to represent the color, roughness, and phase function, while the IOR can be represented by an analytic function. For example, when the IOR is above 2, the lookup table becomes three-dimensional and the IOR is calculated using the analytic function.

Abstract: An apparatus for measuring a spectrum includes a light source array configured to emit light towards an object, a photodetector configured to detect light reflected by the object; and a processor configured to measure, using the light source array and the photodetector, a plurality of temperature correction spectra based on a temperature change of the light source array, obtain a light source temperature drift vector by analyzing the measured plurality of temperature correction spectra, measure, using the light source array and the photodetector, an analysis spectrum by using the light source array and the photodetector, and adjust the measured analysis spectrum to reduce an effect of the temperature change of the light source array by using the obtained light source temperature drift vector.

Abstract: A method, processor and system of retaining dynamic range. The method comprises obtaining a vignetting correction mesh for image data. The method also comprises generating an intensity compression curve, the intensity compression curve comprising one or more segments, based on the vignetting correction mesh; and adjusting pixel values of a portion of the image data according to the intensity compression curve and vignetting correction mesh.

Abstract: A solid-state imaging device includes: pixels arranged in a matrix on a semiconductor substrate. Each of the pixels includes: a photoelectric converter that converts received light into a signal charge; at least one read gate that reads the signal charge from the photoelectric converter; charge accumulators that each accumulate the signal charge read by the at least one read gate; and a charge holder that receives, from one of the charge accumulators, transfer of the signal charge accumulated in the charge accumulator, holds the signal charge, and transfers, to one of the charge accumulators, the signal charge held, each of the charge accumulators includes a part of a transfer channel and a part of a transfer electrode overlapping with the part of the transfer channel in a planar view of the semiconductor substrate, and the transfer channel per one pixel comprises transfer channels.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for learning template representation libraries. In one aspect, a method includes obtaining an image depicting a physical environment, where the environment includes a given physical object. When possible, a position of the given object in the environment is inferred based on a template representation library using template matching techniques. In response to determining that the position of the given object in the environment cannot be inferred based on the template representation library using template matching techniques, the template representation library is automatically augmented with new template representations.

Abstract: A system and method of re-identifying players in a broadcast video feed are provided herein. A computing system retrieves a broadcast video feed for a sporting event. The broadcast video feed includes a plurality of video frames. The computing system generates a plurality of tracks based on the plurality of video frames. Each track includes a plurality of image patches associated with at least one player. Each image patch of the plurality of image patches is a subset of the corresponding frame of the plurality of video frames. For each track, the computing system generates a gallery of image patches. A jersey number of each player is visible in each image patch of the gallery. The computing system matches, via a convolutional autoencoder, tracks across galleries. The computing system measures, via a neural network, a similarity score for each matched track and associates two tracks based on the measured similarity.

Abstract: A device for multispectral imaging in the infrared, suitable for detecting at at least one first and one second detection wavelength is provided. It comprises a detection matrix array comprising a set of elementary detectors of preset dimensions forming an image field of given dimensions; and an image-forming optic having a given aperture number (N) and a given focal length (F), which aperture number and focal length are suitable for forming, at any point of the image field, an elementary focal spot covering a set of at least two juxtaposed elementary detectors.

Abstract: A non-transitory recording medium storing a computer readable image processing program that causes a computer to: obtain a captured image; detect, from the obtained image, a person area representing a person and an object area representing a predetermined object; detect positions of articulation points of the person from the detected person area; and estimate an action of the person based on the detected positions of the articulation points and the detected object area.

Abstract: A face verifying method and apparatus. The face verifying method includes detecting a face region from an input image, generating a synthesized face image by combining image information of the face region and reference image information, based on a determined masking region, extracting one or more face features from the face region and the synthesized face image, performing a verification operation with respect to the one or more face features and predetermined registration information, and indicating whether verification of the input image is successful based on a result of the performed verification operation.

Abstract: The present disclosure provides a method for measuring an angle and a distance. The method includes: at an initial position, after a laser emitting device aligns with a laser receiving device, recording a first angle and measuring a first distance between the laser emitting device and the laser receiving device; and moving the laser receiving device from the initial position to a first position, and after the laser emitting device realigns with the laser receiving device, recording a second angle and measuring a second distance between the laser emitting device and the laser receiving device. The method for measuring the angle and the distance creatively records the corresponding angle and distance at different positions, respectively, such that the position of the laser receiving device relative to the laser emitting device is accurately determined.

Abstract: Provided is a method for overexposing images captured by a camera of a camera carrying device, including: providing a camera disabling apparatus within an environment, including: a housing; a camera disposed within the housing; a movable high power light source; a motor coupled to the high power light source; and a processor for detecting the camera carrying device in captured images of the environment; capturing, with the camera, an image of the environment; detecting, with the processor, the camera carrying device in the captured image; activating, with the processor, a light beam of the high power light source when the camera carrying device is detected in the captured image; and actuating, with the processor, the motor to direct the light beam of the high power light source towards the camera carrying device such that images captured by the camera of the camera carrying device are overexposed.