Abstract: The present disclosure describes systems and methods for facilitating commercial truck service requests using a software application that can be downloaded to a user's device and used by a truck driver when their truck breaks down to request service and connect with a service provider. The application provides a single place for the driver to select and communicate with an appropriate service provider, receive approval from the driver's transportation company, and log details of the repair.

Abstract: This position detecting system is provided with: a target object shape extracting part which extracts a target object as a target object shape from a three-dimensional shape in an indoor space, and acquires a position of the target object shape; an identification information acquisition part which acquires, on the basis of data reported from the target object, target object identification information for identifying the target object; and an identification information associating part which associates the target object shape with the target object identification information.

Abstract: A textile detection module is suitable for detecting a test specimen. The textile detection module includes a height sensor, an excitation light source, an optical detector, and a focuser. The height sensor is suitable for measuring a height of the test specimen to generate a height signal. The excitation light source provides an excitation light beam. The optical detector is disposed on a transmission path of the excitation light beam and is suitable for receiving the excitation light beam and emitting the excitation light beam along the optical axis and receiving a detection light beam to generate a detection result. The focuser is disposed on the transmission path of the excitation light beam emitted by the optical detector. The focuser includes a focus lens suitable for converting the excitation light beam into a focused excitation light beam.

Abstract: The present disclosure relates to verifying an initial object estimation of an object. A two-dimensional (2D) image representative of an environment including one or more objects may be obtained. The 2D image may be inspected to detect edges of an object. The edges may be processed to verify or update an initial object estimation to increase the accuracy of an object detection result.

Abstract: Motivated by the ability of humans to quickly and accurately detect visual artifacts in images, a neural network model is trained to identify and locate visual artifacts in a sequence of rendered images without comparing the sequence of rendered images against a ground truth reference. Examples of visual artifacts include aliasing, blurriness, mosaicking, and overexposure. The neural network model provides a useful fully-automated tool for evaluating the quality of images produced by rendering systems. The neural network model may be trained to evaluate the quality of images for video processing, encoding, and/or compression techniques. In an embodiment, the sequence includes at least four images corresponding to a video or animation.

Abstract: An example system includes a processor to receive concepts extracted from a result set corresponding to a query and result associations for each extracted concept. The processor is to build a graph based on the extracted concepts, wherein the graph comprises a number of nodes representing the extracted concepts and weighted edges representing similarity between concepts extracted from shared results. The processor is to partition the graph into subgraphs with vertices corresponding to candidate facets for vertices having higher sums of weighted edges. The processor is to rank the candidate facets. The processor is to select higher ranked candidate facets to use as facets. The processor is to output facets with a result set in response to the query.

Abstract: Systems and methods of repairing damage to the body structure of a vehicle based on a comparison of vehicle damage to vehicle specification data to indicate the magnitude and direction of vehicle damage to formulate a repair plan for review.

Abstract: A method of automatically detecting damage following a loss causing incident is disclosed. The method includes capturing image information about a group of physical objects in their initial states and comparing these with image information about the group of physical objects in their modified states following a loss causing incident. The method includes detecting discrepancies between the initial and modified states and automatically assesses the degree of damage and/or loss.

Abstract: A vehicle repair estimate platform for collecting vehicle repair data from a depth and dimension measuring camera and generating a manipulatable three-dimensional model of the vehicle damage. An estimate is generated based on insured claim attributes and predefined vehicle damage parameters, and the estimate tagged for periodic selection for inclusion in a wide area repair estimate matrix.

Abstract: A system to process images includes a light source configured to emit a first illumination pattern onto one or more first portions of a scene. The system also includes an image sensor configured to capture light reflected from the scene in response to the emitted first illumination pattern. The system also includes an optimizer configured to perform raytracing of the light reflected from the scene. The system further includes a processor operatively coupled to the optimizer. The processor is configured to determine a parameter of a surface of the scene based on the raytracing, cause the light source to emit a second illumination pattern onto one or more second portions of the scene based at least in part on the parameter of the surface, and refine the parameter of the surface of the scene based on additional raytracing performed on reflected light from the second illumination pattern.

Abstract: Techniques utilize augmented reality to identify anomalies in properties or structures based thereon. Aspects can collect, using augmented reality video glasses, imagery of a property and display, to a wearer of the augmented reality video glasses using the augmented reality video glasses, data describing the property. Aspects can further compare the imagery of the property to the data describing the property to determine at least one anomaly associated with the property and report the anomaly to a user.

Abstract: A method of regional color processing based on video content and a system using the same are provided, comprising: step 1: dividing a data area; step 2: denoising pixel video data; step 3: generating a representative value of small block; step 4: detecting a video scene type; step 5: smoothing of the representative value of the small block; step 6: dark block fading processing; step 7: HDR custom compensating/definition restoring; and step 8: generating a representative value of the large block. It divides the video source data into small blocks or large blocks according to the rendering granularity of the ambient light, and implements algorithms such as noise reduction, smooth processing and adaptive compensation according to the video format and content, and the lighting rendering can follow the video signal in real time, which can effectively reduce the sudden change of rendering light and bring users more soothing experience.

Abstract: A method for reducing the number of images or the length of a video from a digital image collection using a social network, includes receiving a digital image collection captured by a user to be viewed by a viewer; wherein the viewer and the user are members of the same social network and using a processor to access the social network to determine a relationship between a viewer and the user. The method further includes using the processor to determine a set of summarization parameters based on the relationship between the viewer and the user and using the processor to reduce the number of images or the length of the video from the digital image collection using the determined set of summarization parameters to be viewed by the viewer.

Abstract: Provided is an image forming apparatus and a method, an abnormal nozzle detection method, and a printed matter manufacturing method that can suppress the consumption of an extra medium and can efficiently specify an abnormal nozzle. The image forming apparatus (10) includes a print head (16) that has a plurality of nozzles, an association unit (40) that associates the nozzle with a partial region in a user image, a first correction unit that performs a first correction assuming that the associated nozzle is abnormal in at least one of the partial regions, a streak detection unit (44) that detects streak information from a print result of the user image including the partial region subjected to the first correction, and a nozzle state estimation unit (46) that estimates a state of the nozzle on the basis of the streak information of two or more partial regions in a single user image.

Abstract: Sensors, including time-of-flight sensors, may be used to detect objects in an environment. In an example, a vehicle may include a time-of-flight sensor that images objects around the vehicle, e.g., so the vehicle can navigate relative to the objects. Sensor data generated by the time-of-flight sensor can include noise. In some examples, the sensor data is filtered by comparing a measured intensity value to a threshold intensity value. The threshold intensity value can be determined on a per-pixel basis using depth information and/or intensity information for a corresponding image frame.

Abstract: Provided are a method and a device for detecting a flying spot on an edge of a depth image and an electronic device. The method includes the following. Image data of the depth image is collected. A normal vector of each pixel of the depth image is calculated according to the image data. An edge point of the depth image is calculated according to the normal vector with an edge detection operator. The edge point is taken as a seed point, and whether the seed point satisfies a growing condition is determined. Upon determining that the seed point satisfies the growing condition, the seed point is determined as the flying spot.

Abstract: Described is a computer-implemented method for determining material interfaces of an object by means of at least one measurement of the object, a rasterized representation of the object having a plurality of pixels being produced by means of the measurement, each pixel having at least one piece of image information, which indicates a value of a measurement variable for the object at the position of the measurement point. The method comprises the determining of a parameterization of the rasterized representation of the object, the parameterization assigning at least one parameter to each of the measurement points of a subset of the measurement points of the representation, and the applying of at least one parameter-dependent edge-detection operator to the measurement points of the rasterized representation, an edge-detection operator being designed to determine the location of at least one material interface in the rasterized representation.

Abstract: A method may include obtaining an image including a face. The method may further include determining at least one time domain feature related to the face in the image and at least one frequency domain information related to the face in the image. The method may further include evaluating the quality of the image based on the at least one time domain feature and the frequency domain information.

Abstract: In a method and apparatus for evaluating image segments for a correspondence calculation, an image signal is received from an image sensor and is evaluated in order to determine the extent to which, for a selected region of the image sensor, noise caused by the image sensor is present; and a resultant evaluation parameter, for an image segment of an image acquired by the image sensor, which describes whether the image segment is suitable for a correspondence calculation, is ascertained. The image segment corresponding to the selected region of the image sensor and the resultant evaluation parameter are ascertained based on the determined extent of the noise.

Abstract: It is desired to provide technology that enables automatic measurement of the size of a subject with a reduced number of frames of images required, relaxed restrictions on the coverage and light projection, and no limitation on the shape of the subject. Provided is an information processing device including: a depth information acquiring unit configured to acquire depth information; a data conversion unit configured to convert the depth information into three-dimensional data; a subject extraction unit configured to extract a subject area where a subject is present on the basis of the three-dimensional data; and a size measurement unit configured to measure a size of the subject on the basis of the subject area, in which the size measurement unit detects six planes circumscribing the subject area and measures the size of the subject on the basis of the six planes.

Abstract: The present disclosure provides systems and methods for virtual facial makeup simulation through virtual makeup removal and virtual makeup add-ons, virtual end effects and simulated textures. In one aspect, the present disclosure provides a method for virtually removing facial makeup, the method comprising providing a facial image of a user with makeups being applied thereto, locating facial landmarks from the facial image of the user in one or more regions, decomposing some regions into first channels which are fed to histogram matching to obtain a first image without makeup in that region and transferring other regions into color channels which are fed into histogram matching under different lighting conditions to obtain a second image without makeup in that region, and combining the images to form a resultant image with makeups removed in the facial regions.

Abstract: An image obtaining unit that obtains an image picked up by an image pickup apparatus, a first detection unit that detects a first feature from the image, a second detection unit that detects a second feature different from the first feature from the image by using a method different from a method of the first detection unit, a first position orientation derivation unit that derives a position orientation of the image pickup apparatus as a first position orientation on the basis of the first feature detected from the image, a second position orientation derivation unit that derives a position orientation of the image pickup apparatus as a second position orientation on the basis of the second feature detected from the image, and a decision unit that decides the position orientation of the image pickup apparatus on the basis of the first position orientation and the second position orientation are provided.

Abstract: A display method includes changing a first transmission rate of a panel data clock signal to a second transmission rate, changing a first vertical synchronization period of a vertical synchronization signal to a second vertical synchronization period including a vertical pixel active synchronization interval and a blank interval according to at least the second transmission rate of the panel data clock signal, and merely enabling a backlight device during a time interval of any length within the blank interval. The second transmission rate is greater than the first transmission rate. The second vertical synchronization period is greater than the first vertical synchronization period.

Abstract: Provided are techniques for identifying and extracting a sub-image in a document image file. Colors in a document image file are modified to form a modified document image file, wherein the document image file contains a first color, a second color, and a third color, wherein a threshold is used to determine whether each of different levels of the third color is to be one of the first color and the second color. Solid horizontal lines and solid vertical lines having one of a pre-defined width and a pre-defined height are removed from the modified document image file. A sub-image in the modified document image file is identified based on remaining solid horizontal lines and remaining solid vertical lines. A segment that includes the sub-image is extracted. Post-processing is performed on the segment.

Abstract: There is provided a method for measuring a laminated iron core. The method includes preparing a laminated iron core in which two or more kinds of metal plates with different shapes are laminated and a deformed part is formed inside a hole continuing in a lamination direction of the laminated iron core, acquiring a surface profile data indicating a surface shape of the deformed part through an inlet of the hole by a non-contact sensor located in an outside of the hole, and calculating a length from the inlet of the hole to the deformed part in the lamination direction by a calculator based on the surface profile data.

Abstract: A method and device are provided for obtaining a 3D image. The method includes sequentially projecting a plurality of beams to an object, each of the plurality of projected beams corresponding to a respective one of a plurality of sectors included in a pattern; detecting a plurality of beams reflected off of the object corresponding to the plurality of projected beams; identifying time-of-flight (ToF) of each of the plurality of projected beams based on the plurality of detected beams; identifying a distortion of the pattern, which is caused by the object, based on the plurality of detected beams; and generating a depth map for the object based on the distortion of the pattern and the ToF of each of the plurality of projected beams, wherein the plurality of detected beams are commonly used to identify the ToF and the distortion of the pattern.

Abstract: An image processing system accesses an image of a completed form document. The image of the form document includes one or more features, such as form text, at particular locations within the image. The image processing system accesses a template of the form document and computes a rotation and zoom of the image of the form document relative to the template of the form document based on the locations of the features within the image of the form document relative to the locations of the corresponding features within the template of the form document. The image processing system performs a rotation operation and a zoom operation on the image of the form document, and extracts data entered into fields of the modified image of the form document. The extracted data can be then accessed or stored for subsequent use.

Abstract: A testing device which includes a testing unit to perform test procedures on network elements of a communication network and a machine-readable code reader to read a machine-readable code associated with a network element of the communication network. The testing device further includes a computer device configured to: (i) determine a component type associated with the machine-readable code data read; (ii) select from a plurality of configuration files a configuration file based on the component type determined; and (iii) configure the test unit for a test procedure using the configuration file selected, and to perform the test procedure on the network element.

Abstract: One variation of a method for generating and distributing digital advertising content includes: accessing a static asset including a set of objects representing advertising content; extracting the set of objects from the static asset; generating a set of frames, an object in the set of objects inserted into each frame in the set of frames; defining an order for presenting the set of frames to a viewer; at a visual element loaded into a window of a first computing device, sequentially rendering the set of frames according to the order responsive to an interaction at the first computing device that moves the visual element within the window; and, based on the interaction, generating an engagement metric for a user interacting with the visual element at the first computing device.

Abstract: A computer-implemented method for generating multiple room placements is disclosed. In the embodiment, the method involves obtaining information indicating a number of rooms to be placed in a department, the information including room type information, capturing at least one room pattern using a pattern language-based regular expression, and generating a plurality of room placements using the at least one room pattern by placing the rooms to be placed in the department according to the selected room pattern.

Abstract: In one embodiment of the present invention, a quality trainer and quality calculator collaborate to establish a consistent perceptual quality metric via machine learning. In a training phase, the quality trainer leverages machine intelligence techniques to create a perceptual quality model that combines objective metrics to optimally track a subjective metric assigned during viewings of training videos. Subsequently, the quality calculator applies the perceptual quality model to values for the objective metrics for a target video, thereby generating a perceptual quality score for the target video. In this fashion, the perceptual quality model judiciously fuses the objective metrics for the target video based on the visual feedback processed during the training phase. Since the contribution of each objective metric to the perceptual quality score is determined based on empirical data, the perceptual quality score is a more accurate assessment of observed video quality than conventional objective metrics.

Abstract: A human detection system may detect the presence of a human around a shovel by using an image captured by an imaging device attached to the shovel. Also, the human detection system may have an extracting part that extracts a part of the captured image as an identification process target image, and an identifying part that identifies whether an image included in the identification process target image is an image of a human. A region of the identification process target image is preliminarily associated with one of head image positions in the captured image. The extracting part finds out a helmet image in the captured image, and extracts the identification process target image by associating a representative position of the helmet image with one of the head image positions.

Abstract: The present disclosure provides a computer-implemented method for representing intensity levels indicative of a first type of sense of a subject (150) by parameter values for a different second type of sense of the subject (150). The method comprises determining (210) a first parameter value for the second type of sense representing a first intensity level indicative of the first type of sense; and determining (220) a second parameter value for the second type of sense representing a second intensity level indicative of the first type of sense with reference to the first parameter value, wherein the first parameter value differs from the second parameter value by at least one Just-Noticeable-Difference (JND) of the second type of sense of the subject (150).

Abstract: In one embodiment of the present invention, a quality trainer and quality calculator collaborate to establish a consistent perceptual quality metric via machine learning. In a training phase, the quality trainer leverages machine intelligence techniques to create a perceptual quality model that combines objective metrics to optimally track a subjective metric assigned during viewings of training videos. Subsequently, the quality calculator applies the perceptual quality model to values for the objective metrics for a target video, thereby generating a perceptual quality score for the target video. In this fashion, the perceptual quality model judiciously fuses the objective metrics for the target video based on the visual feedback processed during the training phase. Since the contribution of each objective metric to the perceptual quality score is determined based on empirical data, the perceptual quality score is a more accurate assessment of observed video quality than conventional objective metrics.

Abstract: Embodiments of the present disclosure provide a method, an apparatus, and a system for deep feature coding and decoding. The method comprises: extracting features of respective video frames; determining types of the features, the types reflecting time-domain correlation degrees between the features and a reference feature; encoding the features using predetermined coding patterns matching the types to obtain coded features; and transmitting the coded features to the server such that the server decodes the coded features for a vision analysis task. By using the embodiments of the present disclosure, videos per se may not be transmitted to the cloud server; instead, the features of the video, after being encoded, are transmitted to the cloud server for a vision analysis task; compared with the prior art, data transmission pressure may be lowered, and the storage pressure at the cloud server may also be lowered.

Abstract: First image data and second image data are image data in which each pixel value corresponds to one of a plurality of color components that constitute a color filter of an image sensor. Also, the second image data is image data whose field of view overlaps the field of view of the first image data, and whose resolution is higher than that of the first image data. An image processing apparatus performs color interpolation processing on the first image data by referring to, out of the values of the pixels that constitute the second image data, the value of a pixel at a first position corresponding to the position of a pixel to be interpolated in the first image data or a position closest to the first position.

Abstract: An inspection system for assessing and visualizing structural damage to a structural platform comprises sensors operatively coupled to the structural platform that assess structural damage to or failure of the structural platform. A structural health monitoring processor operatively coupled to the sensors determines structural damage in response to the sensors. At least one RF transponder and associated reader determines the position of the structural platform relative to a user augmented reality viewing device. The user augmented reality viewing device includes a camera that captures images of the structural platform. The user augmented reality viewing device displays real world images of the structural platform and virtual indications of determined structural damage that are dependent on the position and orientation of the user augmented reality viewing device relative to the structural platform.

Abstract: An apparatus for parameterizing a plant includes a recorder for recording a three-dimensional data set of the plant including not only volume elements of non-covered elements of the plant, but also volume elements of elements of the plants that are covered by other elements, and a parameterizer for parameterizing the three-dimensional data set for obtaining plant parameters.

Abstract: A method to test the fidelity of a depth-imaging camera to depth-change abruptness of an imaged subject includes digitally generating, with the depth-imaging camera, a machine-readable calibration depth image of a calibration subject arranged in a field of view of the depth-imaging camera. The method includes machine processing the calibration depth image in a spatial domain to obtain a machine-readable measure of the fidelity in the spatial domain, and machine processing the measure of the fidelity in the spatial domain to obtain a measure of the fidelity in a frequency domain.

Abstract: A method of determining a modulation transfer function (MTF) for an image includes receiving an image captured through the optical system, performing edge detection on columns or rows in the image to calculate a plurality of edge points, calculating a plurality polynomials to fit to the calculated edge points, each of the plurality of polynomials varying in degree, selecting a polynomial from the plurality of polynomials to represent the detected edge, and estimating the MTF based on the selected polynomial.

Abstract: A resolution estimating device is achieved which is capable of adequately estimating the resolution of the original image of any received image signal. A resolution estimating device (1000) includes a proximity-degree acquiring unit (1), an accumulation unit (2), a frequency transform unit (3), and a spectrum analyzing unit (4). The proximity-degree acquiring unit (1) acquires the proximity degree value of each target pixel. The accumulation unit (2) accumulates the proximity degrees of the target pixels, for example, in the vertical direction on the image, and obtains a one-dimensional data sequence of the accumulated proximity degree values. The frequency transform unit (3) performs a frequency transform on the one-dimensional data sequence of the accumulated proximity degree values obtained by the accumulation unit (2), and obtains a one-dimensional frequency-component data sequence which is a one-dimensional data sequence for frequency regions.

Abstract: In one embodiment of the present invention, a quality trainer and quality calculator collaborate to establish a consistent perceptual quality metric via machine learning. In a training phase, the quality trainer leverages machine intelligence techniques to create a perceptual quality model that combines objective metrics to optimally track a subjective metric assigned during viewings of training videos. Subsequently, the quality calculator applies the perceptual quality model to values for the objective metrics for a target video, thereby generating a perceptual quality score for the target video. In this fashion, the perceptual quality model judiciously fuses the objective metrics for the target video based on the visual feedback processed during the training phase. Since the contribution of each objective metric to the perceptual quality score is determined based on empirical data, the perceptual quality score is a more accurate assessment of observed video quality than conventional objective metrics.

Abstract: There are provided an image pickup module manufacturing method and an image pickup module manufacturing device that can align an image pickup element unit with a lens unit at a low cost and with high accuracy. A manufacturing device 200 holds a lens unit 10 on a Z axis so that an x direction is parallel to a direction of gravity; holds an image pickup element unit 20 on the Z axis; changes a z direction position of the image pickup element unit 20 with respect to the lens unit 10, while holding an x-direction position of a lens group 12 at a predetermined position, to pick up an image of a measurement chart 89; and adjusts a position and a tilt of the image pickup element unit 20 with respect to the lens unit 10 on the basis of image pickup signals.

Abstract: Provided are a measurement target measuring method, and a magnifying observation device which make it possible to readily and intuitively recognize a deviation between actual height image data and CAD data concerning a specific portion of a measurement target. A CAD height data generation unit generates a plurality of pieces of CAD height data based on basic CAD data. A reference height data selection unit selects reference height data from the plurality of pieces of CAD height data. A reference appearance image data acquisition unit acquires a reference appearance image corresponding to the reference height data. A target image display unit displays a target image based on texture image data or actual height image data, and a reference image display unit displays a reference image based on the reference appearance image data or the reference height data.

Abstract: The invention provides an apparatus and method for checking the integrity of visual display information and has particular application to checking images displayed in an automotive vehicle, such images containing safety critical information. The image intensity is checked only to an extent commensurate with a human being able to interpret its correct meaning. Hence, images which are defective in some way yet still recognisable by the human eye are not classified as failures. In one embodiment, a part of the image containing safety critical information is segmented into smaller areas and the luminance of pixels in each segmented area is compared with a threshold brightness level and a threshold darkness level. A histogram for each area is generated and compared with a reference.

Abstract: An apparatus for parameterizing a plant includes a recorder for recording a three-dimensional data set of the plant including not only volume elements of non-covered elements of the plant, but also volume elements of elements of the plants that are covered by other elements, and a parameterizer for parameterizing the three-dimensional data set for obtaining plant parameters.

Abstract: A system and method for the measurement of distances related to an object depicted in an image. One aspect including delivery of supplemental materials for fenestration and for constructing insulating materials for fenestration. A digital image containing a primary object dimension and a reference object dimension in substantially the same plane undergoes digital image processing to provide improved measurement capability. Information regarding a primary object is provided to an automated measurement process, design and manufacturing system to provide customized parts to end users. A digital image is obtained having an observable constraint dimension to which a customized part is to conform wherein the digital image contains a reference object having a reference dimension and a constraint dimension is calculated from the digital image based on a reference dimension. The custom part is designed and manufactured based on the calculated constraint dimension.

Abstract: A user measures a length of a target using a mobile terminal and measure a length, irrespective of time and place. The mobile terminal and the target are photographed together in front of the mirror, and a size of the target is estimated using a ratio of the pictured size versus the actual size of the mobile terminal. The actual size of the target is calculated by adjusting the estimated length with an error associated with a difference between a distance from the mirror to the mobile terminal and a distance from the mirror to the target, and thus, a length is more accurately measured. In addition, the error associated with the distance is corrected based on the photographed picture and data stored in a database and thus, a separate distance measurement sensor for correcting the distance is not required and the cost may be reduced.

Abstract: Systems and methods for measuring image recognition accuracy are provided. One embodiment of a method includes locating an identifier in an environment, where the identifier is configured according to a predetermined format and where the identifier identifies an actual characteristic of an object. Some embodiments of the method include locating the object in the environment, determining a perceived characteristic of the object, and determining, from the identifier, the actual characteristic of the object. Similarly, some embodiments include comparing the actual characteristic of the object with the perceived characteristic of the object, determining whether the actual characteristic of the object substantially matches the perceived characteristic of the object and, in response to determining that the actual characteristic of the object does not substantially match the perceived characteristic of the object, determining a change to make for improving image recognition.

Abstract: A system and method directed to receiving a first data set corresponding to patient data at a first time, receiving a second data set corresponding to patient data at a second time, segmenting a first region of interest in the first data set and a second region of interest in the second data set, the first and second regions corresponding to one another and aligning the first region of interest with the second region of interest to highlight a first contour indicating a change in size, shape and orientation between the first and second regions of interest.