Abstract: A method of determining a capability of an electrical panel includes providing information relative to the electrical panel to a computer vision software, such as through an image captured by a camera. An attribute of the electrical panel may be analyzed, using the computer vision software, panel at least partially based on the information. An overall electrical power capacity of the electrical panel may be calculated based at least in part on the attribute of the electrical panel. An electrical load on the electrical panel may be calculated based at least in part on the attribute of the electrical panel. A report may be generated that includes an unused electrical power capacity of the electrical panel at least partially based on the electrical load and the overall electrical power capacity of the electrical panel.

Abstract: An attention mechanism-based low-dose dual-tracer PET reconstruction method. The method achieves low-dose dual-tracer PET image reconstruction by an attention mechanism-based convolution network model, and estimates the standard dose and separates dual-tracer PET signals in a sinogram. With the help of deep learning, a feature extraction tool, the method can reconstruct standard-dose single-tracer PET images in a PET Low-Dose Dual-Tracer Sinogram.

Abstract: An image generating apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to successively generate Magnetic Resonance (MR) images in a plurality of temporal phases by using a first reconstruction method. The processing circuitry is configured to determine a first temporal phase before MR images in all the temporal phases during a predetermined time period are generated. The processing circuitry is configured to generate an MR image in the first temporal phase determined by the determining unit, by using a second reconstruction method having a larger processing load than the first reconstruction method.

Abstract: A vehicular driving assistance system includes a camera and a LIDAR sensor disposed at a vehicle. An electronic control unit (ECU) includes at least one data processor. The system, responsive to processing of image data captured by the camera, determines a lane marker ahead of the vehicle. The system, responsive to processing of sensor data captured by the LIDAR sensor, determines a first portion of the lane marker forward of the vehicle and determines a second portion of the lane marker rearward of the vehicle. The system interpolates the lane marker between the first portion and the second portion. The system, responsive to the determined lane marker and the interpolated lane marker, estimates location of a front wheel of the vehicle relative to the lane marker.

Abstract: Methods of performing a complex Fourier transform of a complex data set corresponding to an image are disclosed. The methods comprise receiving a complex data set and performing a first 1D complex Fourier transform in the complex data set in Cartesian form; converting the complex data set into polar form and compressing the complex data set in polar form; performing a row-column transformation of the complex data set; decompressing the complex data set and converting the complex data set back into Cartesian form; and performing a second 1D Fourier transform in the complex data set in Cartesian form, wherein the second 1D complex Fourier transform is orthogonal to the first 1D complex Fourier transform. Corresponding systems are also disclosed, as are application to the iterative computation of computer-generated holograms.

Abstract: A vehicle travel control apparatus configured to control a traveling operation of a vehicle including an actuator for traveling, the vehicle travel control apparatus including a sensor mounted on the vehicle to capture an image of a division line in a traveling direction of the vehicle or measure the division line and an electronic control unit including a microprocessor. The microprocessor is configured to perform controlling the actuator based on a position information of the division line obtained by the sensor and a reliability with respect to the position information of the division line obtained by the sensor, and setting the reliability based on a shape of a road surface or a road structure in the traveling direction of the vehicle.

Abstract: A center shift amount estimating apparatus for estimating a deviation between a rotation axis of the sample and a center of a detector with respect to an X-ray source in a CT device, comprises a region specifying unit for specifying a region of interest in a reconstructed uncorrected image to avoid an area where there is an extremely different pixel value from the surrounding area, a temporary correction unit for correcting an assumed center shift amount to reconstruct a temporarily corrected image with respect to the region of interest, an index analyzing unit for searching an extreme value of an index representing variation of pixel values in the temporarily corrected image, and a center shift amount specifying unit for specifying an actual center shift amount with respect to the extreme value.

Abstract: The present disclosure is directed to a computational procedure for accelerated, calibrationless magnetic resonance image (CI-MRI) reconstruction that is fast, memory efficient, and scales to high dimensional imaging. The computational procedure, High-dimensional fast ConvolUtional framework (HICU), provides fast, memory-efficient recovery of unsampled k-space points.

Abstract: An information processing apparatus comprises an image processing unit configured to acquire a plurality of images representing results of executing predetermined image processing for target data using a plurality of candidate values of a parameter associated with the predetermined image processing; a selection unit configured to select a plurality of representative images from the plurality of images; a display control unit configured to display the plurality of selected representative images on a display unit; an operation unit configured to accept an operation input to the plurality of displayed representative images; and a statistical processing unit configured to decide at least one value from the plurality of candidate values based on a result of statistical processing of information obtained by the accepted operation.

Abstract: Methods, systems and computer readable medium for object detection coverage estimation are provided. The system for object detection coverage estimation includes a camera and a processing means. The processing means is coupled to the camera to receive image data acquired by the camera, the image data including a detected object. The processing means is configured to determine a spatial coverage of the detected object based on detected object metadata associated with the detected object in the image data received from the camera.

Abstract: Systems/techniques that facilitate multi-layer image registration are provided. In various embodiments, a system can access a first image and a second image. In various aspects, the system can generate, via execution of a machine learning model on the first image and the second image, a plurality of registration fields and a plurality of weight matrices that respectively correspond to the plurality of registration fields. In various instances, the system can register the first image with the second image based on the plurality of registration fields and the plurality of weight matrices.

Abstract: A surveillance region identifying method is used to analyze a region feature of a surveillance region covered by a surveillance apparatus. The surveillance region identifying method includes analyzing all track information within a series of images acquired by the surveillance apparatus to acquire an appearing point and a disappearing point of each track information, utilizing cluster analysis to define a main appearing point cluster of the appearing points, computing enter vectors of all appearing points inside the main appearing point cluster, and analyzing vector angles of all enter vectors of the main appearing point cluster to define an entrance of the surveillance region.

Abstract: A control device for a vehicle for determining perceptual load of a visual and dynamic driving scene, the control device being configured to: receive an image sequence representing the driving scene, extract a set of scene features from the image sequence, the set of scene features representing static and/or dynamic information of the driving scene, calculate a time-aggregated representation of the image sequence based on the extracted set of scene features, calculate an attention map of the driving scene by attentional pooling of the time-aggregated representation of the image sequence, and determine the perceptual load of the driving scene based on the attention map. The invention further relates to a corresponding method.

Abstract: A system and method utilizing an existing boresighted HUD and a camera to determine the transformational and rotational relationships between the camera image and the boresighted HUD image of an aircraft to properly orient the camera for landing operations. Known boresight features are identified in a HUD image and are related to the same boresight features in a camera image, and transformations are applied to align pixels in the camera image to the pixel locations of the boresight features in the HUD image. Object recognition algorithms may be employed to identify the boresight features in the camera image.

Abstract: A method, non-transitory computer readable medium, and system that manage agricultural analysis in dynamic environments includes detecting a location of one or more agricultural objects of interest in image data of an environment captured by a sensor device during active navigation of the environment. An orientation and position of the sensor device with respect to the image data is determined. Each of the one or more agricultural objects of interest is analyzed based on the image data, the detected location of the one or more agricultural objects of interest, and the determined orientation and position of the sensor device to determine one or more characteristics about the one or more agricultural objects of interest. At least one action is initiated based on the determined one or more characteristics about the one or more agricultural objects of interest.

Abstract: A method (200) for determining a position and an orientation of a portion of a handheld personal care device relative to a user's body (50), comprising: providing (210) a handheld personal care device comprising at least one energy source (20) and at least one detector (22), both the at least one energy source and the at least one detector located within the handheld personal care device, the at least one energy source arranged at a first position and having a first orientation within the handheld personal care device; emitting (220) energy in a three dimensional space surrounding the handheld personal care device; detecting (230) a portion of the energy emitted; generating (240) sensor data; extracting (250) one or more features from the generated sensor data; and estimating (260) a position and an orientation of a portion of the handheld personal care device relative to the user's body based on the extracted one or more features.

Abstract: Systems and methods for visuo-tactile object pose estimation are provided. In one embodiment, a computer implemented method includes receiving image data, depth data, and tactile data about the object in the environment. The computer implemented method also includes generating a visual estimate of the object that includes an object point cloud. The computer implemented method further includes generating a tactile estimate of the object that includes a surface point cloud based on the tactile data. The computer implemented method yet further includes estimating a pose of the object based on the visual estimate and the tactile estimate by fusing the object point cloud and the surface point cloud in a 3D space. The pose is a six-dimensional pose.

Abstract: According to one embodiment, an image processing apparatus includes processing circuitry. The processing circuitry calculates, based on a region of interest set in a mammographic image, a first distance from the region of interest to a body surface on the mammographic image, and displays, in an ultrasound image, a marker indicating a position of the region of interest as viewed in a depth direction based on the first distance.

Abstract: The invention relates to a shot-processing device. The memory receives scene data comprising three-dimensional object pairs associating an object identifier, the ellipsoid data, which define an ellipsoid and its orientation and a position of center, and shot data defining a two-dimensional image of the scene, from a viewpoint corresponding to a desired pose. The detector receives shot data and returns two-dimensional object pairs comprising an object identifier and its associated shot region. The preparer determines a set of positioning elements, each associating the object identifier, the ellipsoid data, and ellipse data which define an ellipse approximating the shot region. The combiner generates candidates associating positioning elements and a shot orientation. The estimator calculates a pose comprising a position and an orientation. The selector projects the ellipsoid data onto the shot data from the pose, determines a measurement of similarity and selects the pose that has the highest likelihood value.

Abstract: The present invention relates to a method by which a computing means monitors a harbor, and a harbor monitoring method, according to one aspect of the present invention, comprises the steps of: acquiring a harbor image; generating a segmentation image corresponding to the harbor image; generating a display image corresponding to the harbor image and having a first view attribute; generating a conversion segmentation image, which corresponds to the segmentation image and has a second view attribute different from the first view attribute; matching the display image so as to generate a panoramic image; matching the conversion segmentation image so as to generate a matching segmentation image; calculating ship mooring guide information on the basis of the matching segmentation image; and outputting the mooring guide information together with the panoramic image.