Abstract: A method of generating a vehicle environment view for a vehicle, having has the following steps. Camera images are provided by vehicle cameras on the body of the vehicle. A vehicle environment view is calculated based on the camera images. A texture of a ground surface that is located below the vehicle body and is not visible to the cameras, is determined within the vehicle environment view by performing a local color prediction and a movement-compensated texture prediction.

Abstract: In some examples, a computing device receives an image of an optically active article that includes a set of one or more symbols of a symbol set, wherein at least one symbol of the set of one or more symbols comprises a set of encoding regions that are embedded with the symbol. In response to receiving the image, the computing device may determine that a particular image region of the image represents the at least one symbol. For encoding regions within the at least one symbol, the computing device may determine, based at least in part on the determination that the particular image region of the image represents the at least one symbol, whether the one or more encoding regions are active or inactive. The computing device may perform, based at least in part on whether the one or more encoding regions are active or inactive, one or more operations.

Abstract: A system and method for determining a position of a target. The method includes determining a first direction to the target from a first observing position, estimating a first approximate position of the target based on the first direction and the first observing position, determining a second direction to the target from a second observing position, and estimating a second approximate position of the target based on the second direction and the second observing position. The method further includes determining a first approximate intersection point of (i) a first finite length line between the first observing position and the first approximate position of the target, and (ii) a second finite length line between the second observing position and the second approximate position of the target.

Abstract: A control unit of a console functions as an acquisition unit that acquires a radiographic image and imaging conditions in which the radiographic image has been captured. In addition, the control unit functions as a derivation unit that derives the amount of signal included in the radiographic image on the basis of a primary radiation distribution of the radiographic image derived on the basis of the imaging conditions or on the basis of the imaging conditions and a body thickness distribution of an object in the radiographic image and outputs the ratio of the derived amount of signal to the amount of noise included in the radiographic image as an index value of the amount of radiation emitted in the capture of the radiographic image.

Abstract: A sample selection method and apparatus and a server belong to the field of metric learning technologies. The method includes: selecting n sample pairs from an unlabeled sample set, each sample pair including two samples, and each sample including data in p modalities; calculating a partial similarity between data that is in each modality and that is of one sample included in the sample pair and data that is in each modality and that is of the other sample, to obtain p×p partial similarities; calculating, according to the p×p partial similarities, an overall similarity between the two samples included in the sample pair; obtaining a degree of difference between the p×p partial similarities and the overall similarity; and selecting a sample pair that meets a preset condition and that is in the n sample pairs as a training sample.

Abstract: A method of augmenting sight in an individual. The method comprises obtaining an image of a scene using a camera carried by the individual; transmitting the obtained image to a processor carried by the individual; selecting an image modification to be applied to the image by the processor; operating upon the image to create a modified image using either analog or digital imaging techniques, and displaying the modified image on a display device worn by the individual. The invention also relates to an apparatus augmenting sight in an individual. The apparatus comprises a camera, carried by the individual, for obtaining an image of a scene viewed by the individual; a display carried by the individual; an image modification input device carried by the individual; and a processor, carried by the individual. The processor modifies the image and displays the modified image on the display carried by the individual.

Abstract: An electronic device includes a user interface. The user interface can receive a single command to capture an image. An imager of the electronic device can capture at least the image in response to the single command to capture the image. One or more sensors of the electronic device can determine contextual input from an environment of the electronic device while the imager captures the image. One or more processors of the electronic device can then augment the image with a visible representation of the contextual input to create a single, still, augmented image.

Abstract: An artificially intelligent entity can emulate human behavior in video games. An AI model can be made by receiving gameplay logs of a video gameplay session, generating, based on the gameplay data, first situational data indicating first states of the video game, generating first control inputs provided by a human, the first control inputs corresponding to the first states of the video game, training a first machine learning system using the first situational data and corresponding first control inputs, and generating, using the first machine learning system, a first artificial intelligence model. The machine learning system can include a convolutional neural network. Inputs to the machine learning system can include a retina image and/or a matrix image.

Abstract: Some embodiments of an image processing apparatus comprise a processor to execute instructions. The instructions are for detecting feature points from images in a first plurality of images that at least partially overlap in angle of view and have different focus positions and from at least one second image, calculating a first conversion coefficient from the feature points, combining the images in the first plurality of images based on the first conversion coefficient, calculating a second conversion coefficient of at least a part of the images in the first plurality of images by using the feature points detected from the second image, and combining the at least a part of the images in the first plurality of images by using the second conversion coefficient, wherein a depth of field in the second image is deeper than a respective depth of field in each image in the first plurality of images.

Abstract: Some aspects of the present embodiments provide an A/V recording and communication device that stores the identification data for one or more known persons and/or objects at a local memory of the device. Each time the A/V recording and communication device detects a person or an object, the A/V recording and communication device may capture identification data for the person or object and identify the detected person or object by comparing the identification data for the detected person or object (e.g., an image of the person and/or other biometric data related to the person) with the previously stored identification data.

Abstract: A method for improving visual interaction with a virtual environment includes measuring a position of a user's gaze relative to a virtual element, presenting a visual cue when the user's gaze overlaps the virtual element, and guiding the user's gaze toward an origin of the virtual element with the visual cue.

Abstract: Certain examples provide an image data processing system including an anatomy detector to detect an anatomy in an image and to remove items not included in the anatomy from the image. The example system includes a bounding box generator to generate a bounding box around a region of interest in the anatomy. The example system includes a voxel-level segmenter to classify image data within the bounding box at the voxel level to identify an object in the region of interest. The example system includes an output imager to output an indication of the object identified in the region of interest segmented in the image.

Abstract: A method includes capturing an image, and performing region detection on the captured image. The region detection includes identifying an object represented in the captured image. The method further includes detecting emissivity of the identified object and determining the temperature of the object based on the detected emissivity of the object.

Abstract: Computer based methods are provided for displaying an image or video. The methods are usable for displaying a virtual space to a viewer of a video, where the video was originally generated using a virtual environment. For example, when a streamer streams gameplay of a video game that occurs in a virtual environment, the method allows such a video streamed to be presented to a third-party viewer, such as a stream viewer, as a virtual environment.

Abstract: In a template design application, a user creates a template for a machine-readable image target that supports encoded data and augmented reality homography. The design application enforces design constraints that ensure reliable detection of the target by a detection application while supporting creative freedom in designing the template. The design constraints can include specification of a detection contour outlining a transition between a perimeter of a border shape and an adjacent area of a contrasting color. Data to be encoded is applied to the template to create printable image instances of the target. The template is also loaded into a detection application, which scans and recognizes printed instances of the target and decodes the encoded data. The detection application uses the decoded data to create a synthesized image target matching the scanned target and which is used to execute further tracking of the target within a moving field of view.

Abstract: The present application relates to the technical field of image recognition, and provides a carpal segmentation and recognition method, including: performing threshold segmentation on a carpal region of interest on a child orthotopic wrist X-ray image based on an adaptive threshold segmentation manner of variable threshold segmentation windows, and extracting edge information of the carpal region of interest based on an edge detection manner; combining a binarized image obtained by performing the threshold segmentation with the extracted edge information to obtain an initial segmentation image; performing carpal recognition on the initial segmentation image by using a carpal anatomy priori model to obtain an initial recognition image including information of each carpal bone; and performing boundary optimization on the initial recognition image, and outputting a carpal recognition image obtained after the boundary optimization is performed.

Abstract: Provided is an encoding and decoding method and device for data compression. The encoding method includes: adaptively selecting a constrained string mode from a plurality of preset constrained string modes; and performing, according to the selected constrained string mode, string-matching encoding on a coding block to obtain information of a constrained string encoded in the selected constrained string mode and to obtain a bitstream of a syntax element of the constrained string encoded in the selected constrained string mode.

Abstract: A facility, comprising systems and methods, for providing enhanced situational awareness to captured image data is disclosed. The disclosed techniques are used in conjunction with image data, such as a real-time or near real-time image stream captured by a camera attached to an unmanned system, previously captured image data, rendered image data, etc. The facility enhances situational awareness by projecting overlays onto captured video data or “wrapping” captured image data with previously-captured and/or “synthetic world” information, such as satellite images, computer-generated images, wire models, textured surfaces, and so on. The facility also provides enhanced zoom techniques that allow a user to quickly zoom in on an object or area of interest using a combined optical and digital zoom technique. Additionally, the facility provides a digital lead indicator designed to reduce operator-induced oscillations in commanding an image capturing device.

Abstract: The present disclosure provides a positioning method and a robot using the same. The method includes: obtaining, through the visual sensor, a current frame image; obtaining, through the ultra-wideband tag, distance of a robot from an ultra-wideband anchor; performing a feature matching on the current frame image and an adjacent frame image to generate partial map point(s); determining whether the current frame image is a key frame image; and optimizing a pose of the visual sensor corresponding to the key frame image through a joint objective function in response to the current frame image being the key frame image, where the joint objective function at least comprises a distance cost function of the ultra-wideband anchor and a visual residual cost function. Through the above-mentioned method, the accuracy of the positioning of the robot can be improved.

Abstract: A method, computer program product, and visual display apparatus include a processor(s) obtaining, via a camera device, a unique identifier, wherein the unique identifier was captured by the image capture functionality of the camera device during a given temporal period. Based on the unique identifier, the processor(s) determines an application, where a graphical user interface of the application, when rendered through a client during the given temporal period, displayed the unique identifier (and was captured by the camera device). The processor(s) obtain, from the camera device, identifying data relevant to a user associated with the camera device. Based on the unique identifier and the identifying data, the processor(s) provides content targeted to the user.