Abstract: In one implementation, a method includes obtaining, for a particular pixel of an image, a real pixel value and a virtual pixel value. The method includes obtaining, for the particular pixel of the image, a first alpha and a second alpha. The method includes generating, for the particular pixel of the image, a combined pixel value as a weighted average of the real pixel value and the virtual pixel value, the weighting being based on at least one of the first alpha and the second alpha.

Abstract: Techniques for measuring a monument, including obtaining a set of two or more images of a monument environment, detecting a set of markers in the set of images, wherein the set of markers are positioned on a plane level with respect to gravity by a leveling device, and wherein the leveling device is configured to automatically level the markers, generating a virtual representation of the monument environment with respect to gravity, mapping the monument to a virtual representation, determining one or more slopes and dimensions of the monument based on the mapped monument and the gravity plane, and outputting the one or more slopes and dimensions of the monument.

Abstract: The disclosure discloses a method for dynamically monitoring the content of a rare earth element (REE) component based on a time-series feature. Using an image information acquisition device to periodically acquire a time-series image of a rare earth (RE) solution to be monitored; extracting a time-series feature of the time-series image in a mixed color space; determining whether a time-series feature value of the time-series image is in an expected interval of the mixed color space; calculating a histogram intersection distance between the time-series image and a sample image in a sample data set in the HSV color space, and determining the content of the REE component corresponding to the time-series image according to a component content corresponding to a sample image with a larger histogram intersection distance, if the determination result indicates no; otherwise, directly waiting for the acquisition of a time-series image at a next sampling time point.

Abstract: The present invention provides a classification method for automatically identifying wafer spatial pattern distribution, comprising the following steps: performing statistical analysis to distribution of defects on a wafer, the defects being divided into random defects, repeated defects and cluster defects; performing denoising and signal enhancement to the cluster defects; performing feature extraction to the cluster defects after denoising and signal enhancement; and performing wafer spatial pattern distribution classification to the cluster defects after feature extraction. By performing statistical analysis and neural network training to a great amount of wafer defect distribution, the spatial patterns in defect distribution can be automatically identified, the automatic classification of wafer spatial patterns can be realized, the workload of engineers is effectively reduced and the tracing of the root cause of such spatial pattern is facilitated.

Abstract: Discussed herein are devices, systems, and methods for building mask generation. A method can include setting a respective pixel value of an image to a first specified value if the respective pixel corresponds, according to a three-dimensional (3D) point set, to an elevation greater than a specified Z threshold, otherwise setting the respective pixel value to a second, different specified value, grouping contiguous pixels set to the first specified value into one or more groups, determining a feature of each of the one or more groups, comparing the determined feature to a threshold and retaining the group if the feature is greater than a threshold, otherwise removing the group, and providing a building mask that includes pixels of the retained group set to a value and other pixels set to a different value.

Abstract: The disclosed embodiments include a method for automating alignment of image data captured of a three-dimensional (3D) physical structure with a computer model of the 3D physical structure. The method can include obtaining two-dimensional (2D) images of the 3D physical structure undergoing construction, detecting fiducial markers corresponding to control points in the 2D images, and determining a transformation function based on the control points. The method can further include obtaining more 2D images, detecting other fiducial markers, and aligning image data to a computer model by utilizing the transformation function. The method can further include refining an alignment by utilizing a refinement transformation based on 3D physical elements of the 3D physical structure.

Abstract: A computing device is provided, including a logic subsystem with one or more processors, and memory storing instructions executable by the logic subsystem. These instructions are executed to obtain one or more source images, segment the one or more source images to generate a plurality of segments, determine a priority order for the plurality of segments, and transmit the plurality of segments to a remote computing device in the priority order. The plurality of segments are spatial components generated by spatial decomposition of the one or more source images and/or frequency components that are generated by frequency decomposition of the one or more source images. A remote computing device may receive these components in priority order, and perform certain algorithms on individual components without waiting for the entire image to upload.

Abstract: A method and apparatus for facilitating training of agents is disclosed. Raw transcripts representing textual form of interactions between the agents and customers of the enterprise are transformed to generate transformed transcripts. An interaction summary is generated in relation to each transformed transcript. A plurality of intent-based interaction clusters are derived using the interaction summary generated in relation to each transformed transcript. The plurality of interactions are classified based on the plurality of intent-based interaction clusters and an interaction flow map is generated for each intent-based interaction cluster based on the interactions classified into the respective intent-based interaction cluster. The generated interaction flow map is capable of facilitating training of agents for interacting with the customers of the enterprise.

Abstract: Techniques are disclosed for identifying document structural elements and correcting errors in the classification and/or location of the identified structural elements. An example method includes determining location and classification for a structural element on a page of the document using a machine learning (ML) model; determining one or more errors in the location and/or classification for the structural element; and correcting each instance of the one or more errors using other content in the document (e.g., content spatially adjacent to the corresponding structural element on the page of the document). The method may further include storing the document and the location and classification (as corrected), and/or generating a structural map of the page of the document based on the location and classification (as corrected). The use of the document content to correct errors greatly enhances the agreement between the identified structural elements and the original document.

Abstract: In one implementation, a method of estimating the orientation of an object in an image is performed by a device including one or more processors, non-transitory memory, and a scene camera. The method includes obtaining an image of a scene including a plurality of pixels at a respective plurality of pixel locations and having a respective plurality of pixel values. The method includes determining a first set of pixels locations corresponding to a 2D boundary surrounding an object represented in the image and determining, based on the first set of pixel locations, a second set of pixel locations corresponding to a 3D boundary surrounding the object.

Abstract: A device and a method of using the device to determine a user-specific head-related transfer function (HRTF), are described. The device can determine first geometric data corresponding to visible features of a pinna of a user in an image, and second geometric data corresponding to hidden features of the pinna obfuscated by the visible features in the image. The first geometric data and the second geometric data are combined in a geometric model that describes a shape of the pinna, and the user-specific HRTF is determined based on the geometric model. The user-specific HRTF is used to render spatial audio to the user. Other aspects are also described and claimed.

Abstract: In general, techniques are described for a personal protective equipment (PPE) management system (PPEMS) that uses images of optical patterns embodied on articles of personal protective equipment (PPEs) to identify safety conditions that correspond to usage of the PPEs. In one example, an article of personal protective equipment (PPE) includes a first optical pattern embodied on a surface of the article of PPE; a second optical pattern embodied on the surface of the article of PPE, wherein a spatial relation between the first optical pattern and the second optical pattern is indicative of an operational status of the article of PPE.

Abstract: This invention is a portable phone-moving device to guide medical imaging using a mobile phone or other camera-enabled mobile device. The device automatically moves the phone or other mobile device over a selected portion of a person's body to guide the capturing of phone images of that portion from different angles and/or distances for medical imaging purposes.

Abstract: Presented herein are systems and methods that allow for vertebral centrums of individual vertebrae to be identified and segmented within a 3D image of a subject (e.g., a CT or microCT image). In certain embodiments, the approaches described herein identify, within a graphical representation of an individual vertebra in a 3D image of a subject, multiple discrete and differentiable regions, one of which corresponds to a vertebral centrum of the individual vertebra. The region corresponding to the vertebral centrum may be automatically or manually (e.g., via a user interaction) classified as such. Identifying vertebral centrums in this manner facilitates streamlined quantitative analysis of 3D images for osteological research, notably, providing a basis for rapid and consistent evaluation of vertebral centrum morphometric attributes.

Abstract: The present disclosure provides techniques for dimensioning an object by capturing two three-dimensional images of the object from orthogonal perspectives. For instance, a first three-dimensional image of a first side of a target object, and a second three-dimensional image of an orthogonal side of the generally cuboid object may be captured using a three-dimensional camera. A first two-dimensional axis-aligned minimum bounding box may be generated based on the first three-dimensional image and a second two-dimensional axis-aligned minimum bounding box may be generated based on the second three-dimensional image. The dimensions of the object may be calculated using the width of the first axis-aligned two-dimensional minimum bounding box, the width of the second axis-aligned two-dimensional minimum bounding box, and the greater of the height of the first axis-aligned two-dimensional minimum bounding box and the height of the second axis-aligned two-dimensional minimum bounding box.

Abstract: A detox element or sensor cover is placed at a first location over a sensor such as a camera used to activate a digital device. The sensor cover can leave the digital device in sleep mode until the detox element/sensor cover is removed. The detox element, when not in use for detoxing, is moved to a ready position. The ready position can be, for example, one of the corners of the digital device, where it is mostly out of the way of a touch screen display. The sensor cover is sufficiently small that in one embodiment it is mostly on a bezel of a phone, around a display, with only a small portion impinging on the display.

Abstract: An electronic device according to one example of the present invention comprises: a proximity sensor for generating proximity information on an object which approaches the electronic device; an iris sensor for detecting an iris; and a first processor for controlling the electronic device, wherein the first processor can be set to: determine the distance between the electronic device and the object on the basis of the proximity information generated by the proximity sensor; detect the iris by using the iris sensor when the distance between the electronic device and the object is greater than a first reference value; and inactivate the iris sensor when the distance between the electronic device and the object is less than or equal to the first reference value. In addition, other examples are possible.

Abstract: A method includes obtaining, from an image sensor of a vehicle, an image signal that represents a vector of a plurality of input measured color values; determining weighting values as a function of the input measured values using a determination rule; ascertaining model matrices from a plurality of stored model matrices as a function of the weighting values, each of the model matrices generated for possible input measured values using a training rule; generating a color reconstruction matrix using the ascertained model matrices and at least one of the determined weighting values according to a generating rule; and applying the generated color reconstruction matrix to the measured color value vector in order to produce an output color vector that represents a processed image signal.

Abstract: A handheld, man-portable countermeasure device can include a directional antenna and signal disruption components in electronic communication with the directional antenna. The signal disruption components can include a signal generator coupled to an amplifier. The countermeasure device can include a computing device coupled to an electronic communications transceiver. The computing device can provide, via the electronic communications transceiver, at least one bilateral communication link to operatively connect with a UAV tracking system. The computing device can determine status information associated with the electronic circuitry of the countermeasure device. The computing device can transmit, via the bilateral communication link, the status information to the UAV tracking system.

Abstract: Systems and methods for eye image set selection, eye image collection, and eye image combination are described. Embodiments of the systems and methods for eye image set selection can include comparing a determined image quality metric with an image quality threshold to identify an eye image passing an image quality threshold, and selecting, from a plurality of eye images, a set of eye images that passes the image quality threshold.