Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by using physical environment information. A computing device may receive video depicting a physical environment and process that video to identify one or more first objects. The computing device may receive a request for access to an account. The computing device may send a prompt for a physical environment description and receive, in response, an indication of one or more second objects. The indication of the one or more second objects may comprise video of the physical environment, a verbal description of the physical environment, and/or text describing the physical environment. The computing device may grant the user device access to the account based on comparing the one or more first objects to the one or more second objects.

Abstract: Apparatus for optical sensing includes an illumination assembly, which is configured to direct a first array of beams of optical radiation toward different, respective areas in a target scene while modulating the beams with respective carrier waves having a common carrier frequency and different respective phase angles, which vary across the first array in a predefined spatial pattern. A detection assembly includes a second array of sensing elements, which are configured to output respective signals in response to the optical radiation that is incident on the sensing elements during one or more detection intervals, which are synchronized with the carrier frequency, and objective optics, which are configured to form an image of the target scene on the second array. Processing circuitry processes the signals output by the sensing elements in order to generate a depth map of the target scene.

Abstract: Systems and methods for replacing original media bookmarks of at least a portion of a digital media file with replacement bookmarks is described. A media fingerprint engine detects the location of the original fingerprints associated with the portion of the digital media file and a region analysis algorithm characterizes regions of media file spanning the location of the original bookmarks by data class types. The replacement bookmarks are associated with the data class types and are overwritten or otherwise are substituted for the original bookmarks. The replacement bookmarks then are subjected to a fingerprint matching algorithm that incorporates media timeline and media related metadata.

Abstract: In an image processing apparatus, an image acquisition section acquires captured images from a stereo camera of a head-mounted display. An image correction section performs correction on a partial image-wise basis, a partial image being smaller than one frame, while referring to a displacement vector map representing displacement vectors of pixels required for the correction. A feature point extraction section extracts feature points from partial images, and supplies the feature points sequentially to a feature point comparison section. The feature point comparison section associates feature points in a plurality of images with one another. A space information acquisition section acquires information as to a real space on the basis of correspondence information as to the feature points.

Abstract: Embodiments of the present invention disclose a system and method for reducing noise in a digital image. The method comprises calculating a spatial weight for each pixel s in a current frame, wherein said spatial weight is computed based on a summation of diffused values associated with the pixel s; and selectively filtering an intensity I of the pixel s spatially using said spatial weight.

Abstract: A optical communication system including a source device and an endpoint device. The source device include an array of laser diodes and is configured to drive the laser diodes to project a sequence of patterns into the field of view of the source device to define a set of serially-projected codes, each of which isolated to one respective angular division of the field of view of the source device. The endpoint device receives a serially-projected code from the source device which varies based which angular division of the field of view of the source device is occupied by the endpoint device.

Abstract: A computerized system of performing fish census which otherwise requires high level of domain knowledge and expertise is described. Divers with minimal knowledge of fish can obtain high quality population and species distribution measurements using a stereo camera rig and fish video analyzer software that was developed. The system has two major components: a camera rig and software for fish size, density and biomass estimation. The camera rig consists of a simple stand on which one to four pairs of stereo cameras are mounted to take videos of the benthic floor for a few minutes. The collected videos are uploaded to a server which performs stereo analysis and image recognition. The software produces video clips containing estimates of fish size, density and species biodiversity and a log report containing information about the individual fishes for further end user analysis.

Abstract: A system executes a logo detection data model that processes, using computer processing resources, content data to detect a plurality of logos in the content data. The logo detection data model further automatically labels each detected logo of the plurality of logos in the content data.

Abstract: The present disclosure is related to a system and a method for 3D shape measurement of a freeform surface based on high-speed deflectometry using composite patterns. More particularly, a system for profile measurement based on high-speed deflectometry using composite patterns includes: a composite pattern generation part to project a composite pattern generated by synthesizing patterns having different frequencies to a measurement object; a detector to acquire images of a deformed composite pattern reflected from the measurement object; and a phase acquisition part to acquire wrapped phases by each frequency from the composite pattern and unwrapped phases from the respective wrapped phases.

Abstract: A time-of-flight sensor includes a light source to transmit periodic bursts light in a direction of one or more objects and an array of optical sensing elements to detect light reflected from the one or more objects and generate sensor data corresponding to the detected light. A distance calculator determines depth information of the one or more objects by determining a general phase shift of the reflected light relative to the transmitted light based on a first frame of the sensor data and a second frame of the sensor data, calculating an incremental phase shift of the reflected light relative to the transmitted light based on a linear relationship between the first frame and the second frame in relation to the general phase shift, and combining the general phase shift with the incremental phase shift to determine an actual phase shift of the reflected light relative to the transmitted light.

Abstract: A method includes determining an initial magnetic resonance imaging, MRI, dataset (201) in image domain based on an initial reconstruction of MRI measurement data obtained using an undersampling scheme (400); and determining patches (231-233) of the initial MRI dataset (201) in accordance with a patching scheme, the patching scheme depending on the undersampling scheme (400); and, for each one of the patches (231-233): applying a machine-learned algorithm to obtain a respective patch (231-233) of a reconstructed MRI dataset, the machine-learned algorithm depending on the undersampling scheme (400); and combining the patches (231-233) of the reconstructed MRI dataset.

Abstract: The present invention provides a new image processing device that is robust against a change in capturing conditions. An image processing device 100 has an acquisition unit 110 for acquiring an image, a smoothing unit 120 for smoothing the acquired image with a prescribed smoothing level, a binarization unit 130 for binarizing the smoothed image, and a control unit 140 for making the smoothing unit 120 execute multiple sessions of smoothing differing in the smoothing level.

Abstract: Through discrimination of the scattered signal polarization state, a lidar system measures a distance through semi-transparent media by the reception of single or multiple scattered signals from a scattering medium. Combined and overlapped single or multiple scattered light signals from the medium can be separated by exploiting varying polarization characteristics. This removes the traditional laser and detector pulse width limitations that determine the system's operational bandwidth, translating relative depth measurements into the conditions of two surface timing measurements and achieving sub-pulse width resolution.

Abstract: A method for highlight extraction capable of automatically extracting a highlight from a video including a sporting event is provided. The method for highlight extraction may include: identifying a video including a sporting event, log information that sequentially records events occurring in the sporting event, and a keyword related to the video; tagging the video with game information related to the video; extracting at least one piece of log information corresponding to the keyword and determining at least one frame that corresponds to the log information extracted from the tagged video; and creating a highlight video by combining the at least one determined frame.

Abstract: An image processing device includes: a detection unit which detects partition line candidates that are candidates for a partition line for partitioning a parking frame, based on edge lines that are detected based on luminance of each pixel of image data taken by shooting a neighborhood of a vehicle; and a generation unit which generates an integrated partition line candidate by integrating the partition line candidates detected by the detection unit, according to a prescribed integration condition.

Abstract: Systems and methods are described for generating automatic illustrator guides. The method may include generating a plurality of candidate guides for a digital image (e.g., using an automated shape detection engine), where each of the plurality of candidate guides is a simple shape such as a line or a circle, combining at least two of the candidate guides based on the shape information to create refined candidate guides, generating a pixel coverage map for each of the refined candidate guides, prioritizing the refined candidate guides based on the corresponding pixel coverage maps, selecting one or more drawing guides from the one or more refined candidate guides based on the prioritization, and displaying the digital image along with the one or more drawing guides.

Abstract: A depth measurement assembly (DMA) includes an illumination source that projects pulses of light (e.g., structured light) at a temporal pulsing frequency into a local area. The DMA includes a sensor that capture images of the pulses of light reflected from the local area and determines, using one or more of the captured images, one or more TOF phase shifts for the pulses of light. The DMA includes a controller coupled to the sensor and configured to determine a first set of estimated radial distances to an object in the local area based on the one or more TOF phase shifts. The controller determines a second estimated radial distance to the object based on an encoding of structured light and at least one of the captured images. The controller selects an estimated radial distance from the first set of radial distances.

Abstract: A light detection and ranging (LiDAR) system includes light sources configured to generate separate beams of light, a lens array configured to receive the separate beams of light from the light sources and to collimate the separate beams of light into collimated outgoing light that is directed toward an examined area of interest, a light sensitive detector configured to sense reflection of at least part of the collimated outgoing light, and one or more processors configured to determine a distance to one or more objects off which the at least part of the collimated outgoing light was reflected toward the light sensitive detector. The one or more processors are configured to determine the distance based on the reflection of the at least part of the collimated outgoing light.

Abstract: The method for generating a final image for the printing thereof on a lenticular support includes an acquisition of a first file including a plurality of images; an automatic extraction of a determined number of images of the first file as a function of a maximum number of images to extract, the images being ordered according to a first order; a redimensioning of the images as a function of a parameter of density of lenses per unit surface area of a predefined printable support, called the pitch; an interlacing of the extracted images; and a generation of a final image to be printed on a lenticular support.

Abstract: A time of flight based depth detection system is disclosed that includes a projector configured to sequentially emit multiple complementary illumination patterns. A sensor of the depth detection system is configured to capture the light from the illumination patterns reflecting off objects within the sensor's field of view. The data captured by the sensor can be used to filter out erroneous readings caused by light reflecting off multiple surfaces prior to returning to the sensor.

Abstract: Various aspects of a systems and method for reconstructing a surface of a three-dimensional (3D) target are disclosed herein. The method may comprise projecting a sequence of patterns to the surface of the target; capturing a first stereo endoscopic image and a second stereo endoscopic image from the patterns reflected from the surface; performing a coarse matching for the captured first and second stereo endoscopic images to acquire a set of matching candidates; and performing a precise matching for the acquired set of matching candidates to acquire reconstruction pixels for reconstructing the surface.

Abstract: This disclosure relates to method and system for detecting and correcting an orientation of an image. The method may include generating a number of images of an environment corresponding to the input image, determining a region and a label corresponding to each of a number of objects in each of the images, determining a context for each of the objects in each of the images with respect to an overall context of the environment based on the label for each of the objects, estimating an orientation score for each of the images based on a correlation between the region and the label of each of the objects in each of the images and the context of each of the objects in each of the images, and correcting the orientation of the input image based on the estimated orientation score for each of the images.

Abstract: Segmentation is the identification of separate objects within an image. An example is identification of a pedestrian passing in front of a car, where the pedestrian is a first object and the car is a second object. Superpixel segmentation is the identification of regions of pixels within an object that have similar properties An example is identification of pixel regions having a similar color, such as different articles of clothing worn by the pedestrian and different components of the car. A pixel affinity neural network (PAN) model is trained to generate pixel affinity maps for superpixel segmentation. The pixel affinity map defines the similarity of two points in space. In an embodiment, the pixel affinity map indicates a horizontal affinity and vertical affinity for each pixel in the image. The pixel affinity map is processed to identify the superpixels.

Abstract: A method for registering an imaging detector to a surface projects and records a sequence having a first sparse pattern of lines followed by a second sparse pattern of lines. A first subset of positions receives lines from both first and second sparse patterns corresponding to a first label. A second subset of positions receives only lines from the first sparse pattern corresponding to a second label. A third subset of positions receives only lines from the second sparse pattern corresponding to a third label. The first, second, and third labels are decoded and each member element of the first, second, and third subsets of positions registered to the imaging detector according to the decoded labels. One or more dense patterns of lines positionally correlated with registered member elements of the decoded labels are projected and recorded. An image of the surface contour is formed according to the recorded pattern.

Abstract: Aspects of the embodiments are directed to a time-of-flight imaging system and methods of using the same. The time-of-flight imaging system includes a light emitter comprising at least one one-dimensional array of laser diodes; a photosensitive element for receiving reflected light from an object; and a light deflection device configured to deflect light from the light emitter to the object. In embodiments, the time-of-flight imaging system includes a lens structure to deflect emitting light from the laser diodes at a predetermined angle towards a light steering device.

Abstract: A method for detecting one or more white spot MURA defects in a display panel includes receiving an image of the display panel, the image including the one or more white spot MURA defects, dividing the image into a plurality of patches, each one of the plurality of patches corresponding to an m pixel by n pixel area of the image (wherein m and n are integers greater than or equal to one), generating a plurality of feature vectors for the plurality of patches, each of the feature vectors corresponding to one of the plurality of patches and including one or more image texture features and one or more image moment features, and classifying each one of the plurality of patches based on a respective one of the plurality of feature vectors by utilizing a multi-class support vector machine to detect the one or more white spot MURA defects.

Abstract: An image reading device includes an original document transport device, a first reading module and a control portion. When the control portion performs the light source turning-on confirmation processing of the first reading module, the control portion performs first opening/closing determination processing for determining the state of the opening and closing of a cover member, light amount acquisition processing for turning on a light source so as to acquire light amount data after it is determined in the first opening/closing determination processing that the cover member is in a closed state, second opening/closing determination processing for determining again the state of the opening and closing of the cover member after the acquisition of the light amount data in the light amount acquisition processing and light amount determination processing for determining the light amount after it is determined that the cover member is in the closed state.

Abstract: The video receiving apparatus is capable of transmitting and receiving data via a communications network. The video receiving apparatus includes a video extractor, a controller, a calibration executor, and an input unit to which a video signal is input. The video extractor extracts a partial video, which is to be used for video recognition processing, from the video signal. The controller controls the following operations: That is, the controller transmits, to a video recognition apparatus, either the partial video or content recognition information formed from the partial video, thereby requesting the video recognition apparatus to perform the video recognition processing. The controller acquires a result of the video recognition processing from the video recognition apparatus, and acquires the additional information based on the video recognition processing from an additional-information delivering apparatus.

Abstract: A Braille Copy Machine includes a processor configured to detect at least one Braille cell from a scanned image of an original Braille document. The detecting includes determining a coordinate and a code for the at least one Braille cell. The Braille Copy Machine also includes an embosser configured to create an embossed copy of the original Braille document based on the determined coordinate and code for the at least one Braille cell.

Abstract: A method and system for matching an unknown facial image of an individual with an image of a celebrity using facial recognition techniques and human perception is disclosed herein. The invention provides a internet hosted system to find, compare, contrast and identify similar characteristics among two or more individuals using a digital camera, cellular telephone camera, wireless device for the purpose of returning information regarding similar faces to the user The system features classification of unknown facial images from a variety of internet accessible sources, including mobile phones, wireless camera-enabled devices, images obtained from digital cameras or scanners that are uploaded from PCs, third-party applications and databases. Once classified, the matching person's name, image and associated meta-data is sent back to the user. The method and system uses human perception techniques to weight the feature vectors.

Abstract: To measure a three-dimensional shape of a measurement target object at high speed, an information processing method includes acquiring a captured image captured by an imaging apparatus in a state where a pattern is projected onto the measurement target object, the pattern including a plurality of lines, identification information arranged on or between the lines to identify the lines, and a feature arranged between a plurality of the lines, identifying each line included in the captured image by acquiring a correspondence between each line included in the projected pattern and each line included in the captured image, determining a second region in the pattern corresponding to a first region between the lines in the captured image, and deriving a distance of the measurement target object by acquiring a correspondence between the first region and the determined second region.

Abstract: A method and apparatus for processing data, the data including a set of one or more system inputs; and a set of one or more system outputs; wherein each system output corresponds to a respective system input. Each system input can include a plurality of data points, such that at least one of these data points is from a different data source to at least one other of those data points. The method includes performing a kernel function on a given system input from the data and a further system input to provide kernelized data; and inferring a value indicative of a significance of data from a particular data source; wherein the inferring includes applying a regression technique to the kernelized data.

Abstract: A depth camera includes an illumination module and an image detector module. The illumination module outputs structured light that illuminates a capture area. The image detector module captures an image of the structured light as reflected from object(s) within the capture area. The illumination module includes a VCSEL array and optical element(s), such as projection optics, an MLA or DOE, or combinations thereof. Projection optics receive a light pattern emitted by the VCSEL array and project the light pattern. An optical element, downstream from the projection optics, can cause a total number of features included in the structured light to be greater than the number of features included in the light pattern projected by the projection optics. In an embodiment, a pitch of an MLA is offset relative to a pitch of the VCSEL array. Various structures can include alignment elements to aid manufacture of the illumination module.

Abstract: A method for compressing a bi-level document image containing text is disclosed. The document image is segmented into symbol images each representing a letter, numeral, etc. in the document. The symbol images are classified into a plurality of classes, each class being associated with a template image and a class index. Classification is done by comparing each symbol to be classified with template of existing classes, using a number of image features including zoning profiles, side profiles, topology statistics, and low-order image moments. These image features are compared using a tolerance based method to determine whether the symbol matches the template. After classification, certain classes that have few symbols classified into them may be merged with other classes. In addition, the template images of the classes are down-sampled, where the final sizes of the template images are dependent on the likelihood of confusion of the template with other templates.

Abstract: Provided are a shoe image retrieval apparatus and method using a matching pair, which can accurately retrieve image information corresponding to an inputted image from the database and provide the retrieved image information, by normalizing a correspondence relation in consideration of geometric image transformation about the matching pair and allowing a similar image to be retrieved by applying the normalized correspondence relation. It is possible to detect optimum geometric image transformation from a matching pair between the inputted shoe image and the image stored in the database and simultaneously retrieve a plurality of objects in the inputted shoe image based on the detected geometric image transformation, thereby providing an efficient shoe retrieval service.

Abstract: An appliance control apparatus recognizes image features of an target appliance from an obtained image, calculates a degree of similarity between the image features of the target appliance and image features of a registered appliance, specifies the registered appliance corresponding to the image features in the case where the degree of similarity indicates a high similarity as the target appliance; calls up control information of the specified target appliance, and controls the target appliance.

Abstract: Feature extraction of image data using feature extraction modules. The feature extraction modules may be provided in an architecture that allows for modular, decoupled generation and/or operation of the feature extraction modules to generate feature data corresponding to image data. In this regard, the feature extraction modules may communicate with a file system storing image data and feature data by way of a common interface format. Accordingly, regardless of the nature of the execution of the feature extraction module, each feature extraction module may be communicative by way of the common interface format, thereby providing a modular approach that is highly scalable, flexible, and adaptive.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for graphical overlay object translation. One of the methods includes receiving a first plurality of first feature points, each first feature point being associated with a plurality of feature descriptors and a respective location on the first digital image. The method includes receiving a second plurality of second feature points, each second feature point being associated with a plurality of feature descriptors and a respective location on the second digital image. The method includes determining the translation offset for the second digital image from the first digital image by matching locations of the first feature points with locations of the second feature points without regard to the feature descriptors.

Abstract: An image retrieval system includes an obtaining unit that obtains a query image, a specifying information extracting unit that extracts, from the query image, specifying information which specifies an image group as a retrieval target, a feature information extracting unit that extracts, from the query image, feature information to be used in image retrieval processing, and a retrieval unit that performs the image retrieval processing on retrieval target images specified by the specifying information, using the feature information.

Abstract: A video processing system may include a video ingest module for receiving a plurality of georeferenced video feeds each including a sequence of video frames and initial geospatial metadata associated therewith, and each georeferenced video feed having a respective different geospatial accuracy level associated therewith. The system may further include a video processor coupled to the video ingest module and configured to perform image registration among the plurality of georeferenced video feeds, and generate corrected geospatial metadata for at least one of the georeferenced video feeds based upon the initial geospatial metadata, the image registration and the different geospatial accuracy levels.

Abstract: There is provided an information processing apparatus capable of recognizing a plurality of movable contents, obtaining movement history information about positions of the recognized contents, determining a relationship between the contents from the movement history information about the positions, and facilitating explanation of the contents by using the relationship. To this end, images of a plurality of contents having order information are projected based on the order information, which of the projected images is selected is detected, a projection unit is caused to project an image of a content related to a source content of the detected image by using a display mode based on a relationship between the source content and the related content. Through such control, the relationship between the source content and the related content is shown in an easy-to-understand manner.

Abstract: A method of measuring a feature of an article may include projecting a scale template onto the article at a predetermined size. The method may additionally include projecting a measurement pattern onto the article. An image containing the feature, the scale template, and the measurement pattern may be recorded by the camera. The method may further include determining a scale factor of the image based on the scale template, and determining a size and/or a location of the feature based upon the measurement pattern and the image scale factor.

Abstract: In accordance with at least some embodiments of the present disclosure, a process for enhancing a motion-blurred image is presented. The process may include receiving a plurality of projections, wherein the plurality of projections contain computed tomography (CT) data obtained in multiple motion phases. The process may include generating an enhanced multi-phase image by performing an enhancement operation based on the plurality of projections. The process may further include generating a plurality of phase-correlated images based on the plurality of projections and the enhanced multi-phase image.

Abstract: A Braille-to-Braille facsimile machine implemented process scans an original Braille document, obtaining an image of the original Braille document. The image of the original Braille document is processed, producing an extracted Braille image and duplicating formatting of the original Braille document to produce a copy of the original Braille document. The copy of the original Braille document is sent, via a communications link and received. The copy of the original Braille document is then printed.

Abstract: A reconstructed image is rendered of a patient by a processor from a set of undersampled MRI data by first subtracting two repetitions of the acquired data in k-space to create a third dataset. The processor reconstructs the image by minimizing an objective function under a constraint related to the third dataset, wherein the objective function includes applying a Karhunen-Loeve Transform (KLT) to a temporal dimension of data. The objective function under the constraint is expressed as arg minf{??(f)?1 subject to ?Af?y?2??}. The reconstructed image is an angiogram which may be a 4D angiogram. The angiogram is used to diagnose a vascular disease.

Abstract: A global spatial domain detail controlling method for an image processor includes adjusting at least one detail parameter corresponding to each pixel during an image processing according to each space position of the each pixel in an image; and performing the each pixel with the image processing according to the at least one detail parameter of the each pixel.

Abstract: Embodiments discussed herein in the form of methods, systems, and computer-readable media deal with the application of advanced “projectional” morphological algorithms for solving a broad range of problems. In a method of performing projectional morphological analysis, an N-dimensional input signal is supplied. At least one N-dimensional form indicative of at least one feature in the N-dimensional input signal is identified. The N-dimensional input signal is filtered relative to the at least one N-dimensional form and an N-dimensional output signal is generated indicating results of the filtering at least as differences in the N-dimensional input signal relative to the at least one N-dimensional form.

Abstract: A system for determining an aspect ratio of image content based on an analysis of the content. In an embodiment, an analyzer is configured to receive a data input corresponding to an image in a stream of images that constitute a video sequence of images. The analyzer is further configured to determine a mathematical representation of the image content based on a power spectrum analysis of vertical components of the image in comparison to a power spectrum analysis of horizontal components of the image. Based on this comparison of the vertical frequency components to the horizontal frequency components, a determination about the original aspect ratio of the image may be determined. This determination may be used by a video processor to correctly apply aspect ratio conversion for final image output.

Abstract: A velocity detection apparatus detects a position of a moving object at a first timing and a second timing to detect a velocity of the moving object based on a difference between the first timing and the second timing. The first timing is a timing at which an identifiable mark position of the moving object is detected by a first detector and the second timing is a timing at which the mark position is detected by a second detector. The velocity detection apparatus includes a light source and first and second detectors which detects the mark position based on light obtained by illuminating the moving object using the light source. A vertical projection position of the light source onto a plane which is parallel to a main surface of the first or second detector is located between vertical projection positions of the first and the second detector onto the plane.

Abstract: In a method for graphically representing the surroundings of a motor vehicle, whereby graphical elements, which serve to assist the driver in interpreting the spatial information, contained in the scene image, are superimposed on a scene image, which represents a three dimensional surrounding scene of the surroundings of the motor vehicle and which is out two dimensionally or three dimensionally to the driver of the motor vehicle, the graphical elements are at least partially configured and arranged in the scene image such that they embody in the surrounding scene at least one virtual boundary object, which has a three dimensional spatial shape and which exhibits at least one reference surface that delimits a free space, which can be attained by the motor vehicle without the risk of a collision, from an obstacle space, which can be attained only with the risk of a collision.