Abstract: Systems and methods are described herein. In one embodiment, the method includes receiving a goal associated with a predicate-object pair; receiving utilization data including a plurality of predicate-object pairs including the predicate-object pair associated with the goal; determining a prediction model comprising a plurality of nodes that form a hierarchical structure including a root node and two or more leaf nodes and organized based on one or more of an information gain and a business gain, the two or more leaf nodes including a leaf node associated with the predicate-object pair of the goal; identifying nodes in the hierarchical structure that trace a path from the root node to the node associated with the goal; and causing a recommendation for at least partial completion of the goal to be presented to a user, the recommendation based on the one or more nodes that trace the path.

Abstract: The technology disclosed relates to neural network-based systems and methods of preparing a data object creation and recommendation database.

Abstract: A graphical user interface comprising a data interface for receiving a set of text documents; a calculator for transforming each received text document into a vector of a n-dimensional manifold, n being larger than 2; transforming each n-dimensional manifold vector into a 2-D data; generating a first mapping of what 2-D data corresponds to what n-dimensional manifold vector; and generating a second mapping of what 2-D data corresponds to what received text document; a first user display arranged for displaying each 2-D data on a 2-D plane; a first user interface arranged for allowing a user to select a subset of the displayed 2-D data; wherein selecting said subset of 2-D data automatically selects the n-dimensional manifold vectors that correspond to said subset of 2-D data; and a second user display arranged for displaying a list of the text documents that correspond to said subset of 2-D data.

Abstract: A system and method for determining an object or product represented in an image is disclosed. The system receives a first image, determines a region of interest in the first image, determines a classification score for the region of interest using a convolutional neural network that assigns the region of interest the classification score corresponding to a class, and identifies a first product in the first image based on the classification score.

Abstract: A method of determining a pose of an image capture device includes capturing an image using an image capture device. The method also includes generating a data structure corresponding to the captured image. The method further includes comparing the data structure with a plurality of known data structures to identify a most similar known data structure. Moreover, the method includes reading metadata corresponding to the most similar known data structure to determine a pose of the image capture device.

Abstract: Techniques for automated up-sampling of media files are provided. In some examples, a title associated with a media file, a metadata file associated with the title, and the media file may be received. The media file may be partitioned into one or more scene files, each scene file including a plurality of frame images in a sequence. One or more up-sampled scene files may be generated, each corresponding to a scene file of the one or more scene files. An up-sampled media file may be generated by combining at least a subset of the one or more up-sampled scene files. Generating one or more up-sampled scene files may include identifying one or more characters in a frame image of the plurality of frame images, based at least in part on implementation of a facial recognition algorithm including deep learning features in a neural network.

Abstract: A system for creating component shape data for image processing to be used when performing image recognition of a component to be mounted by a component mounter, the system including: a display section; a wire frame drawing section configured to draw a wire frame on top of the component image, and to move a position of a side of the wide frame in accordance with a drag operation of an operator; a minimum unit specifying section configured to specify a minimum unit for when measuring the shape data of the measurement target portion surrounded by the wire frame; and a component shape data creation section configured to create the component shape data for image processing by measuring with an accuracy using the minimum unit specified by the minimum unit specifying section for the shape data of the measurement target portion surrounded by the wire frame.

Abstract: The general problem of pattern change discovery between high-dimensional data sets is addressed by considering the notion of the principal angles between the subspaces is introduced to measure the subspace difference between two high-dimensional data sets. Current methods either mainly focus on magnitude change detection of low-dimensional data sets or are under supervised frameworks. Principal angles bear a property to isolate subspace change from the magnitude change. To address the challenge of directly computing the principal angles, matrix factorization is used to serve as a statistical framework and develop the principle of the dominant subspace mapping to transfer the principal angle based detection to a matrix factorization problem. Matrix factorization can be naturally embedded into the likelihood ratio test based on the linear models. The method may be unsupervised and addresses the statistical significance of the pattern changes between high-dimensional data sets.

Abstract: A terminal according to the present disclosure comprises an inputter for receiving input of a preview image converted from light reflected from surroundings of the terminal; a controller for identifying a type of an object included in the preview image and selecting two or more image filters using a recommended algorithm regarding an image filter to be applied to the preview image; and a display for displaying the preview image to which the selected two or more image filters are applied, wherein the controller may apply a first image filter of the two or more filters to a first image area of the preview image and apply a second image filter that is different from the first image filter to a second image area that is an area excluding the first image area of the preview image.

Abstract: An image processing device includes: a communication interface configured to receive an original image from a camera; a processor configured to determine a mask area of the original image, extract a switched point among a series of pixels in the mask area, and switch, on the basis of the switched point, a first pixel value of a first pixel set and a second pixel value of a second pixel set and generate a masked image; and a memory storing the masked image and information about the switched point, wherein the switched point is one or more, and the series of pixels sequentially include the first pixel set and the second pixel set.

Abstract: Devices, systems, and methods obtain respective corresponding feature-detection scores for a plurality of areas in an image; calculate respective corresponding sorting scores for at least some areas of the plurality of areas; for the at least some areas of the plurality of areas, arrange the corresponding feature-detection scores in order of the corresponding sorting scores, thereby generating an order of sorted feature-detection scores; and assign respective detection scores to the at least some areas based on the order of sorted feature-detection scores and on three or more of the following: the respective corresponding feature-detection scores of the areas, a spectral threshold, a spatial threshold, and a neighborhood kernel.

Abstract: Systems and methods in accordance with embodiments of the invention estimate depth from projected texture using camera arrays. One embodiment of the invention includes: at least one two-dimensional array of cameras comprising a plurality of cameras; an illumination system configured to illuminate a scene with a projected texture; a processor; and memory containing an image processing pipeline application and an illumination system controller application. In addition, the illumination system controller application directs the processor to control the illumination system to illuminate a scene with a projected texture.

Abstract: A system and method for scoring trained probes for use in analyzing one or more candidate poses of a runtime image is provided. A set of probes with location and gradient direction based on a trained model are applied to one or more candidate poses based upon a runtime image. The applied probes each respectively include a discrete set of position offsets with respect to the gradient direction thereof. A match score is computed for each of the probes, which includes estimating a best match position for each of the probes respectively relative to one of the offsets thereof, and generating a set of individual probe scores for each of the probes, respectively at the estimated best match position.

Abstract: A method for extracting a surface deformation feature of an object based on linear scanning three-dimensional point cloud is disclosed comprising: performing data acquisition by using a three-dimensional measurement sensor based on line structured light, and obtaining a three-dimensional point cloud data of a surface of the object after data pre-processing; eliminating influences of abnormal data and textures on extraction of sectional main profiles, to accurately obtain the sectional main profiles of the object; obtaining a binary image based on deformation feature points extracted from sections, in conjunction with a deformation feature knowledge base, and preliminarily positioning a deformation region based on sub-block images to obtain a set of target morphology sub-blocks; then performing a morphological operation on deformation feature points in the set of target morphology sub-blocks, and generating a deformation region of confidence ROC, and then performing a region growth to extract a target using ge

Abstract: A method and apparatus are directed to applying deblocking filter to block boundaries in a video coding system including an IntraBC (Intra-block copy) mode. For at least one combination of the two neighboring reconstructed blocks including at least one IntraBC coded block in the two neighboring reconstructed blocks, a boundary filter strength equal to one or zero is selected based on coding parameters associated with the two neighboring reconstructed blocks. Deblocking filter is then applied to neighboring samples of the two neighboring reconstructed blocks around the block boundary using the boundary filter strength selected. For example, when the two neighboring reconstructed blocks correspond to one IntraBC coded block and one Inter coded block, the boundary filter strength is set to one.

Abstract: A handwritten music sign recognition device (10) has: a touch information obtaining part (21) which obtains, as position information, a position of an input means on a screen every time the input means moves, from when the input means touches the screen until when the input means is moved away therefrom; a vector information creation part (22) which creates attributes of a vector indicating a trace of movement of the input means as vector information based on the position information; and a stroke characteristic amount derivation part (23) which derives a characteristic amount of a stroke based on the vector information included in the stroke information.

Abstract: A method, computer system, and a computer program product for analyzing a crowd using a plurality of images captured by an aerial drone is provided. The present invention may include determining a geographic area associated with the crowd. The present invention may also include partitioning the determined geographic area into a plurality of zones. The present invention may then include determining a flight path covering each zone within the plurality of zones. The present invention may further include receiving the plurality of images from the aerial drone. The present invention may also include analyzing the received plurality of images to identify a plurality of individuals associated with the crowd. The present invention may then include predicting a plurality of crowd characteristics based on the analyzed plurality of images. The present invention may further include performing an action in response to the predicted plurality of crowd characteristics.

Abstract: The present disclosure relates to methods, devices, and systems for object recognition. For example, the systems, devices, and methods described herein may be used to recognize types, orientations and positions of objects, such as objects (e.g., planar industrial parts) in a bin picking industrial environment. In an aspect of the present disclosure, a system for object recognition may project first 3D point cloud surface data to a 2D representation data. The system may perform a matching operation to evaluate a 2D object pose of the 2D representation data and to match the 2D representation data to a 2D object template. After a match is identified, the system may project the 2D representation data to 3D space to obtain a coarse 3D object pose.

Abstract: The technology described herein is a depth camera that uses structured light and modulated light to produce a depth image. The modulated and structured light allows a time-of-flight depth to be calculated for each unit (e.g., a single dot) of the reflected structured light image captured by the depth camera's image sensor. The time-of-flight depth can be used to accurately identify each unit of the reflected structured light image. Once each unit of the reflected structured light image is identified, a structured light triangulation algorithm can be used to calculate a depth for each unit of the reflected structured light image. The present technology also allows a confidence score to be generated for the assigned depths within the depth image by comparing the structured light depth for each unit to the TOF depth for each unit.

Abstract: An information processing apparatus comprises a moving object detection unit configured to detect a moving object from a captured image; a passage determination unit configured to determine that the moving object has passed through a predetermined position in the captured image; an image extraction unit configured to extract a region image of the moving object that has passed through the predetermined position from the captured image; and a display control unit configured to make a display unit display, in time series, the region image for each passing direction of the moving object that has passed through the predetermined position.

Abstract: An information processing device includes an acquisition unit that acquires measurement success/failure information indicating whether or not measurement of a measurement unit has been successful, in a case where the measurement unit measures a distance to a subject by emitting directional light, which is light having directivity, toward the subject within a designated imaging range and receiving reflected light of the directional light, and an execution unit that causes the measurement unit to remeasure the distance to the subject in a state where a position of the designated imaging range has been changed within an allowable range in which the panoramic imaging is executable, in a case where the measurement success/failure information acquired by the acquisition unit indicates that the measurement of the measurement unit has not been successful.

Abstract: Disclosed is an electronic device for displaying a graphic object. The electronic device may include: a camera; a display; and a processor configured to control the display to display a first image frame acquired through the camera, to determine at least one graphic object to be displayed on the display based on a plurality of first feature points of the first image frame, to determine a location of the at least one graphic object to be displayed in a second image frame based on locations of a plurality of second feature points of the second image frame acquired through the camera and locations of the plurality of first feature points, to combine the at least one graphic object and the second image frame based on the determined locations and control the display to display the combined graphic object and second image frame.

Abstract: Some embodiments described herein relate to optical systems and methods for determining the shape and/or size of objects that include projecting a pattern of light onto the object. The pattern of light can be configured such that first-order reflections can be distinguished from second- and/or higher-order reflections, which can be rejected. Thus, even in instances in which the pattern of light is reflected onto the object multiple times, the original, or first-order, reflection can be detected, distinguished, and/or used for laser triangulation. In some embodiments, a pattern of light that does not have reflection and/or rotational symmetry is projected onto the object, such that second-order and/or higher-order reflections can be distinguished from the first-order reflection.

Abstract: A method of measuring a height of a fuel in an aircraft fuel tank (21)b including illuminating the fuel in the aircraft fuel tank and detecting reflected light from the fuel. Optical coherence tomography is used to determine the height of a surface of fuel in the fuel tank. An apparatus (30) is used to measure a height of a surface of fuel in an aircraft fuel tank, and an aircraft fuel tank system with a fuel tank and an apparatus for measuring a height of a surface of fuel in the aircraft fuel tank.

Abstract: Provided is an image area extraction method for extracting an image area of an object from a color image of obtained color image data. The image data extraction method includes converting RGB values of each pixel in the color image data into HSV values, performing threshold processing to binarize at least one of the converted S and V values of each pixel so that it will be converted into HS?V? values, generating composite image data including an X value, a Y value, and a Z value for each pixel, the X value, the Y value, and the Z value being obtained by adding values according to predetermined one-to-one combinations between any one of an R value, a G value, and a B value and any one of an H value, an S? value, and a V? value, and extracting the image area using the composite image data.

Abstract: A computer-implemented method for detecting a traffic circle on a digital map, the method comprising: detecting a cycle within a road graphic of the digital map; calculating a similarity of an internal angle of a corner of a polygon, which represents the geometry of the cycle, to an internal angle of a corresponding corner of a reference polygon; calculating a similarity indicator on the basis of the calculated similarity of the internal angle of all the corners of the polygon of the detected cycle; and, if the similarity indicator exceeds a predefined threshold value, defining the detected cycle as a traffic circle on the digital map.

Abstract: An image processing apparatus includes: a luminal shooting situation analysis unit configured to analyze a luminal shooting situation determined based on a relationship between a subject and an imaging unit that shoots the subject in a luminal image obtained by shooting an inside of a lumen; and a specific region detection unit configured to detect a specific region in accordance with the luminal shooting situation.

Abstract: A method for determining an apparent color value of pixels corresponding to a subpart of an object in the acquired image, including: estimating a geometric distortion model of the object in the acquired image compared with a reference model of the object; determining a position in the acquired image of the subpart and determining a zone of the acquired image, referred to as the reference zone, situated in a predetermined vicinity of the subpart, each pixel of the reference zone resulting from a projection in the acquired image of a zone of the reference model, referred to as a blank zone, the blank zone being associated with a predetermined color value in the reference model, the projection using the geometric distortion model; and determining an apparent color value of the pixels of the subpart, from a color value of at least one pixel of the reference zone.

Abstract: The present invention provides a calculation method of calculating a shape of a measurement target surface, including a step of obtaining first corrected shape data by correcting first shape measurement data by using a first correction parameter for correcting a measurement error caused by scanning a probe in a first direction, obtaining second corrected shape data by correcting second shape measurement data by using a second correction parameter for correcting a measurement error caused by scanning the probe in a second direction, and generating first whole shape data representing a shape of the whole measurement target surface by synthesizing the first corrected shape data and the second corrected shape data.

Abstract: A principal-subordinate relationship between two subjects is decided with regard to multiple subjects included in an image. Similarly, with regard also to other images, a principal-subordinate relationship between two subjects is decided with regard to multiple subjects included in each image. In a case where a relationship exists in which a first subject is a subordinate subject and a second subject is principal subject, the system calculates a principal-subordinate relationship value that is higher than in a case where a relationship in which a first subject is a subordinate subject and a second subject is principal subject does not exist. The greater the number of subjects to which the first subject is subordinate from among the multiple subjects, the lower the principal-subordinate relationship value calculated. On the basis of the calculated principal-subordinate relationship values, a subject evaluation value is calculated for every subject.

Abstract: A presentation system capable of detecting one or more gestures and contacts on a touch sensitive display. The presentation system can displaying indicia of such contacts, such as when a user writes with a fingertip, and can remove or alter such indicia responsive to other gestures and contacts. The system can accurately distinguish between types of gestures detected, such as between a writing gesture and an erasing gesture, on both large and small touch sensitive displays, thereby obviating the need for a user to make additional selective inputs to transition from one type of gesture to another. The presentation system can distinguish between gestures appropriate for one type of marking and another. The system can distinguish between contacts intended by the user as part of an erasure gesture, and those which are incidentally or accidentally made while the user is writing, drawing or annotating on a display surface.

Abstract: In one embodiment the present invention is a method for populating and updating a database of images of landmarks including geo-clustering geo-tagged images according to geographic proximity to generate one or more geo-clusters, and visual-clustering the one or more geo-clusters according to image similarity to generate one or more visual clusters. In another embodiment, the present invention is a system for identifying landmarks from digital images, including the following components: a database of geo-tagged images; a landmark database; a geo-clustering module; and a visual clustering module. In other embodiments the present invention may be a method of enhancing user queries to retrieve images of landmarks, or a method of automatically tagging a new digital image with text labels.

Abstract: A method, system and computer program product for processing hierarchical data is provided. A method for processing hierarchical data in a relational database includes receiving an input parameter in an initial query for querying an array in a hierarchical data object stored in a table of a relational database, and transforming the initial query into a transformed query configured to place all elements of the array into a different table and to apply a sub-query against the table for the input parameter. Once transformed, predicate evaluation logic of a relational engine of the relational database is applied to the transformed query that is then mapped to the initial query. Finally, responsive to receiving a subsequent instance of the initial query, the mapping is referred to in order to replace the initial query with the transformed query and to subsequently apply the predicate evaluation logic to the transformed query.

Abstract: A system configured for tracking a human hand, e.g., in an interactive space, may comprise a distancing device, one or more physical processors, and/or other components. The distancing device may be configured to generate output signals conveying position information. The position information may include positions of surfaces of real-world objects, including surfaces of a human hand. A group of points may be identified that lie on a candidate surface which is a candidate for being the surface of a hand. The edges of the candidate surface may be detected. The points furthest away from the closest edge may be determined. A model may be created by connecting at least some of these points. Sections of the model are identified that may be a digit of the hand. Per section, fingertips and metacarpophalangeal joints may be identified. The model may be analyzed to determine whether the candidate surface is the surface of a hand.

Abstract: A fingerprint of an image identified within a received message is generated following analysis of the message. A spam detection engine identifies an image within a message and converts the image into a grey scale image. The spam detection engine analyzes the grey scale image and assigns a score. A fingerprint of the grey scale image is generated based on the score. The fingerprint may also be based on other factors such as the message sender's status (e.g. blacklisted or whitelisted) and other scores and reports generated by the spam detection engine. The fingerprint is then used to filter future incoming messages.

Abstract: A display apparatus and a display method are provided. The display apparatus includes a display configured to display a multi-window screen image comprising windows. The display apparatus further includes an audio output interface, and a controller configured to detect a movement of focus from a window to another window among the windows, analyze a stream of content that is reproduced in the focused other window, in response to the controller detecting the movement of focus, and control the audio output interface to output audio data based on the analysis.

Abstract: Systems and methods construct three-dimensional models of building structures with roofs by exploiting properties of the projection of a three-dimensional building structure onto the ground. This projection is a two-dimensional spatial graph, which can be constructed for example by a user or by an image recognition algorithm. The spatial graph is processed to recreate a three-dimensional model of the building structure.

Abstract: In a method of extracting a logo mask from a video stream having a logo, a video stream including a plurality of frames is received. A plurality of online-weighted-average frames is sequentially generated using the video stream. A logo-boundary-score map is generated using a current frame among the plurality of frames and a current online-weighted-average frame among the plurality of online-weighted-average frames. The logo-boundary-score map includes a plurality of logo-boundary-score entries, each of which corresponds to one of a plurality of pixels of the video stream and includes a probability that a corresponding one of the plurality of pixels is a logo-boundary pixel. The logo mask includes a plurality of entries, each of which corresponds to one of the plurality of pixels and represents whether a corresponding one of the plurality of pixels is a logo pixel or a non-logo pixel.

Abstract: A three-dimensional measurement device includes a light source and grid that irradiate a measurement object; a luminance controller that changes luminance levels of the light; a phase controller that changes phase levels of the light pattern; a camera that takes an image of the measurement object; and a processor that three-dimensionally measures a first measurement object area based on different image data taken by radiating a first light pattern in different phases; determines a relationship between a gain and offset determined according to an imaging condition based on the different image data; and three-dimensionally measures a second measurement object area based on two different image data taken by radiating a second light pattern in two different phases by using a gain and offset regarding each pixel determined according to a luminance value of each pixel in the two different image data and the determined relationship.

Abstract: An image processing apparatus is provided with a spatial information calculation unit for calculating spatial information of a subject, which is the information of an area in which the subject in an image is predicted to be present, a first area setting unit for setting a first area in the image based on the spatial information, a second area setting unit for setting a second area outside the first area, a first feature amount calculation unit for calculating a first feature amount of the first area, a second feature amount calculation unit for calculating a second feature amount of the second area, the second feature amount being a feature amount of the same type as the first feature amount, and an saliency calculation unit for calculating a degree of visual saliency of the subject.

Abstract: Provided are a shape recognition device, a shape recognition program, and a shape recognition method capable of obtaining more accurate information for recognizing an outer shape of a target object. A shape recognition device according to the present invention includes: an outer shape detection unit that detects an outer shape of a hand; an extraction point setting unit that sets a plurality of points inside of the detected outer shape as extraction points; a depth level detection unit that measures respective spatial distances to points on a surface of the hand as depth levels, the points respectively corresponding to the plurality of extraction points; and a hand orientation recognition unit that determines which of a palmar side and a back side the hand shows, on the basis of a criterion for fluctuations in the measured depth levels.

Abstract: In various example embodiments, a system and method for visual search and associated data decay models are presented. In one example embodiment, image history data associated with an output display of the machine is captured. The image history data is analyzed to identify groups of images associated with a plurality of events, and context information is identified that is associated with the plurality of events. One or more images for each event of the plurality of events is selected as a key image for an associated event as part of a plurality of key images, and a searchable event timeline index is generated. Key frames from an index of activities of one or more devices may then be displayed as part of a user search for information.

Abstract: A computer-implemented method for designing a digital design layout that includes text includes receiving a first user input requesting creation of a text editing element. The text editing element may include a text window and one or more graphical user interface controls associated with the text window. In response to receiving the first user input, the text editing element is displayed via a graphical user interface. The text editing element includes a graphical representation of a text window containing text, an adjustable slide control for changing the text characteristic, and a resize handle for changing the size of the text window. The method further includes receiving a second user input requesting adjustment of the adjustable slide control. In response to receiving the second user input, a characteristic of the text contained in the text window is changed without changing the width and the height of the text window.

Abstract: The disclosure describes is a channel switching strategy and corresponding protocol for a mesh network which comprises a segment controller (SC) and a large number of outdoor luminaire controllers (OLCs) or other network nodes. A channel switching process is initiated and managed by the SC which transmits a channel switching command to all nodes in the system. Following the actual channel switch, the SC delegate's responsibility to request an orphan node to switch to the new channel to a selected delegate node which is a neighbor node of the orphan node. The selection of the delegate node may be based on a prioritization. When an OLC does not receive any messages for a specified, prolonged period of time, it may scan available frequency bands to find the (new) channel in which the networked system operates at that time.

Abstract: In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.

Abstract: Methods and systems for inferring and predicting the desirable font size of a content area are disclosed. An example method may include detecting a use gesture changing a size of a first content area displayed on a touchscreen, determining that the user has found an optimal font size based on the user gesture detected, and calculating an average that size of the first content area. The method may further include receiving an indication to display a second content area and displaying the second content area on the touchscreen. The method may also include adjusting the font size of the second content area based on the average font size of the first content area, and displaying the second content area with the adjusted font size on the touchscreen.

Abstract: A system, device, and method for printing N-up documents with background forms, by receiving an instruction to print an N-up document, obtaining a document to be printed as the N-up document and a background form, receiving matchings of logical surfaces of the N-up document to the background form, decomposing the logical surfaces of the N-up document into raster images, generating tags, wherein each tag is associated with a pixel of a logical surface of the N-up document and identifies the logical surface, combining raster images of the logical surfaces into an N-up raster image, merging, using the tags, the background form with the N-up raster image to generate a merged N-up raster image, and printing the merged N-up raster image.

Abstract: Methods for characterizing two-dimensional concept drawings are disclosed. The concept drawings comprise cross-sections intersecting at cross-hairs. The method comprises: determining, for each cross-section: a plane on which the cross-section is located, the plane having a normal vector in a three-dimensional coordinate system; and, for each cross-hair on the cross-section, a tangent vector in the three-dimensional coordinate system which is tangent to the cross-section at the cross-hair. For each cross-hair comprising ith and jth intersecting cross-sections, one or more constraints are satisfied, the constraints comprising: the normal vector ni of the plane on which the ith cross-section is located is at least approximately orthogonal to the normal vector nj of the plane on which the jth cross-section is located; and the tangent vector tij to the ith cross-section at the cross-hair is at least approximately orthogonal to the tangent vector tji to the jth cross-section at the cross-hair.

Abstract: A method of localizing transportable apparatus (200) within an environment includes receiving (402) data obtained from a first ranging sensor device (202) that is configured to collect information relating to a 2D representation of an environment (301) through which the transportable device is moving. Further data is received (404), that data being obtained from a second ranging sensor device (204) of the transportable apparatus configured to collect information relating to at least a surface (218) over which the transportable apparatus is moving. The ranging sensor device data is used (406) to estimate linear and rotational velocities of the transportable apparatus and the estimates are used (408) to generate a new 3D point cloud (212) of the environment. The method seeks to match (412) the new 3D point cloud with, or within, existing 3D point cloud (216) in order to localize the transportable apparatus with respect to the existing point cloud.

Abstract: A method includes detecting an interaction event on a display of a device in a locked mode. The interaction event originates at one of a fingerprint sensor of the device or an application icon and terminates at the other of the fingerprint sensor or the application icon. The interaction event is authenticated using the fingerprint sensor. A function associated with the application icon is activated responsive to authenticating the interaction event without unlocking the device.