Abstract: Provided is a video sharing method performed by a server and including: acquiring video data and location points from N capturing terminals respectively, the video data used for recording videos captured by the capturing terminals, the location points used for recording locations of the capturing terminals upon acquiring the video data; sending the location points to M viewing terminals, each of N and M is a positive integer greater than 1; acquiring a target location point from a Q-th terminal, the Q-th terminal being one of the M viewing terminals, 1?Q?M, and the target location point being one of the location points; and sending J-th video data to the Q-th terminal based on the target location point, the J-th video data being video data captured by a J-th terminal at the target location point, and the J-th terminal being one of the N capturing terminals, 1?J?N.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: A method and system for analyzing images of a target vehicle according to a base image model corresponding to the target vehicle. According to certain aspects, the method and system receive a set of images from an electronic device and analyze the set of images to identify the target vehicle and a set of information associated with the target vehicle. The method and system may determine that the set of images does not meet a threshold criteria for further image analysis using a base image model corresponding to the target vehicle. In response, the method and system may generate and transmit a notification to the electronic device indicating that the set of images does not meet the threshold criteria.

Abstract: An image processing system and method obtains one or more source images in which a damaged vehicle is represented, and performs one or more image processing techniques on the obtained images to determine, predict, estimate, and/or detect damage that has occurred at various locations on the vehicle. Specifically, the system/method generates damage parameter values based on the image-processed images, where each value corresponds to damage at a particular location on the vehicle. The image processing techniques may include generating a composite image of the damaged vehicle, aligning and/or isolating the image, applying convolutional neural network techniques to the image to generate the damage parameter values, etc. Based on the generated values, the image processing system/method determines, predicts, estimates, and/or selects a set of parts that are needed to repair the vehicle and, in some embodiments, orders the parts needed to repair the vehicle.

Abstract: A method and system for analyzing images of a target vehicle according to a base image model corresponding to the target vehicle. According to certain aspects, the method and system receive a set of images from an electronic device and analyze the set of images to identify the target vehicle and a set of information associated with the target vehicle. The method and system may determine that the set of images does not meet a threshold criteria for further image analysis using a base image model corresponding to the target vehicle. In response, the method and system may generate and transmit a notification to the electronic device indicating that the set of images does not meet the threshold criteria.

Abstract: An image processing system that may be used to detect changes in objects, such as damage to automobiles, compares a base object model, which depicts the object in an expected condition, to one or more target object images of the object in the changed condition. To do so, the image processing system first processes a target object image to detect one or more predefined landmarks in the target object image using one or more correlation filters. The image processing system then uses the detected landmarks to determine a camera model for the target object image and uses the camera model to correct for camera distortions and to align the target object depicted in a target object image with the object in the base object model to put these objects in a common frame of reference for use in subsequent image processing.

Abstract: An image processing system detects changes in objects, such as damage to automobiles, by comparing a base object model, which depicts the object in an expected condition, to one or more target images of the object in the changed condition. The image processing system first processes a target object image to detect one or more predefined landmarks in the target object image and corrects for camera and positional distortions by determining a camera model for the target object image based on the detected landmarks.

Abstract: An image processing system detects changes in an object, such as damage to an automobile, by comparing a base object model, which depicts the object in an expected condition, to one or more target object images depicting the object in the changed condition. The image processing system aligns the object, as depicted in the base object model, with the object as depicted in a target object image. The image processing system then determines contours of the target object within the target object image by overlaying the aligned base object model with the target object image, and removes background pixels or other extraneous information based on this comparison. The image processing system may also determine various different components, such as body panels of an automobile, based on this overlay.

Abstract: A system for analyzing images of objects such as vehicles. According to certain aspects, the system includes a user interface device configured to capture a set of images depicting a target vehicle, and transfer the set of images to a server that stores a set of base image models. The server analyzes the set of images using a base image model corresponding to the target vehicle, a set of correlational filters, and a set of convolutional neural networks (CNNs) to determine a set of changes to the target vehicle as depicted in the set of images. The server further transmits, to the user interface device, information indicative of the set of changes for a user to view or otherwise access.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: An image processing system and/or method obtains source images in which a damaged vehicle is represented, and performs image processing techniques to determine, predict, estimate, and/or detect damage that has occurred at various locations on the vehicle. The image processing techniques may include generating a composite image of the damaged vehicle, aligning and/or isolating the image, applying convolutional neural network techniques to the image to generate damage parameter values, where each value corresponds to damage in a particular location of vehicle, and/or other techniques. Based on the damage values, the image processing system/method generates and displays a heat map for the vehicle, where each color and/or color gradation corresponds to respective damage at a respective location on the vehicle. The heat map may be manipulatable by the user, and may include user controls for displaying additional information corresponding to the damage at a particular location on the vehicle.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: In a preparation process, one workpiece W is photographed from a plurality of angles, the photographed image is segmented into patches to obtain a plurality of sample patch images, the sample patch images are classified, and each sample patch image is stored while being corresponded with a position information to a reference position of the workpiece W. Image recognition process obtains a reference position of the workpiece W in a patch image, by photographing piled-up workpieces W, segment the photographed image into patches to obtain a plurality of patch images, classify the patch images in same classification method of the sample patch images, accumulating a position information to the reference position of the workpiece W, which is stored while corresponded to the sample patch image of the same classification as the patch image for each patch image, and on the basis of the accumulated result.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.

Abstract: In a preparation process, one workpiece W is photographed from a plurality of angles, the photographed image is segmented into patches to obtain a plurality of sample patch images, the sample patch images are classified, and each sample patch image is stored while being corresponded with a position information to a reference position of the workpiece W. Image recognition process obtains a reference position of the workpiece W in a patch image, by photographing piled-up workpieces W, segment the photographed image into patches to obtain a plurality of patch images, classify the patch images in same classification method of the sample patch images, accumulating a position information to the reference position of the workpiece W, which is stored while corresponded to the sample patch image of the same classification as the patch image for each patch image, and on the basis of the accumulated result.

Abstract: A method for estimating a direction of a subject's gaze includes providing headgear to be worn by the subject, the headgear including an imaging system in operative connection therewith, imaging at least one eyeball using the imaging system over time using light in the visible spectrum, using light in the visible spectrum to determine the position of the iris on a model of the eyeball, and estimating the direction of the subject's gaze from the determined position of the iris on the model of the eyeball.

Abstract: A method and a system for producing images of a subject, such as the heart of a human being. The method may comprise acquiring ultrasound images of the subject with a catheter comprising a position sensor. The method may also comprise capturing a plurality of 4D surface registration points in the acquired ultrasound images corresponding to points on the subject. The method may also comprise registering, in space and time, a high-resolution 4D model of the subject with the plurality of 4D surface registration points. The method may also comprise displaying high resolution, real-time images of the subject during a medical procedure based on the registration of the high resolution 4D model to the 4D surface registration points. Embodiments of the present invention are especially useful in left atrium ablation procedures.