Abstract: An information processing device including at least one processor, wherein the processor is configured to: acquire projection surface size information indicating a size of a projection surface of a compression member in a mammography apparatus that irradiates a breast compressed by the compression member with radiation to capture a radiographic image; generate a projection image having a size corresponding to the projection surface size information; and perform control to direct an image projection unit, which projects the projection image onto the projection surface of the compression member, to project the projection image onto the projection surface.

Abstract: At least one processor generates a crowd state image as an image in which a person image corresponding to a person state is synthesized with previously-prepared image at a predetermined size. The at least one processor specifies a training label for the crowd state image. The at least one processor outputs a pair of crowd state image and training label.

Abstract: Disclosed is an image analysis apparatus for analyzing a camera image. The image analysis apparatus for analyzing a camera image segments an input fisheye camera image into segmented images with a preset size field of view and superimposes the segmented images so that some regions overlap, performs dewarping on each of the segmented images, then combines the segmented images on which the dewarping is performed using a preset combination method, generates an analysis image, and detects objects included in the analysis image. In this case, the image analysis apparatus removes a result recognized as a duplicate from a detection result of the object by post-processing.

Abstract: A processing platform may receive a plurality of images. The processing platform may determine respective asset types of the plurality of assets based on a computer vision technique. The processing platform may determine respective estimated values of the plurality of assets based on the respective asset types. The processing platform may provide information identifying the respective estimated values of the plurality of assets to two or more recipients. The processing platform may receive allocation information. The processing platform may determine a selected allocation of the plurality of assets for the two or more recipients based on the allocation information and using a second model. The processing platform may perform one or more actions based on the selected allocation.

Abstract: At least one processor generates a crowd state image as an image in which a person image corresponding to a person state is synthesized with previously-prepared image at a predetermined size. The previously-prepared image is an background image that include no person. The at least one processor specifies a training label for the crowd state image. The at least one processor outputs a pair of crowd state image and training label.

Abstract: An image display method and apparatus, and a device and a medium are provided. The image display method includes: acquiring a plurality of original images, wherein the original images are images comprising original objects; respectively performing style migration processing on the original objects in the plurality of original images, so as to obtain a plurality of stylized images of the plurality of original images that correspond to a target style; and displaying a synthesized image, where the synthesized image is an image obtained by synthesizing the plurality of stylized images and a background image corresponding to the target style.

Abstract: Methods and systems for analysis of image data generated from various reference points. Particularly, the methods and systems provided are useful for real time analysis of image and sequence data generated during DNA sequencing methodologies.

Abstract: A sputum image processing assembly for processing sputum in a sputum sample container, and method of processing an image of the sputum. The assembly includes a light source to illuminate the sputum, a light sensor to acquire a reflected light from the illuminated sputum, a light enclosure to limit a light between the light source and the light sensor, and an image processor module to generate an image of the sputum with the acquired light. Further disclosed is a method of processing a plurality of sputum samples over time. The method includes acquiring a first sputum image of a first sputum sample, analyzing the first sputum image to determine first color information, acquiring a second sputum image of a second sputum sample, analyzing the second sputum image to determine second color information, and creating a time-based sputum report based on the first color information and the second color information.

Abstract: Disclosed is a system and associated methods for compressing motion within an animated point cloud. The resulting compressed file encodes different transforms that recreate the motion of different sets of points across different point clouds or frames of the animation in place of the data for the different sets of points from the different point clouds. The compression involves detecting a motion that changes positioning of a set of points between a first point cloud and subsequent point clouds of an uncompressed encoding of two or more frames of an animation. The compression further involves defining a transform that models the motion, and generating a compressed animated point cloud by encoding the data of the first point cloud in the compressed animated point cloud, and by replacing the data for the set of points in the one or more subsequent point clouds with the transform.

Abstract: Systems and methods for generating a virtual display of an item can include capturing images of an item in a first sequence and a second sequence and reordering the first sequence and the second sequence to generate the virtual display. The images can be taken in an automated photography studio. The virtual display of the item can comprise a video file created from the images showing an ordered rotation of the item.

Abstract: An automatic drug compounder system may be provided with various components and capabilities for reconstituting a drug in a vial and providing the reconstituted drug to a receiving container. The system may include a camera for capturing images of the vial and processing circuitry for extracting information such as a lot number and an expiration date from the images. The system may rotate the vial while capturing the images to capture images of the entire vial. The processing circuitry may search a portion of the image for the lot number and expiration date, the portion based on stored information. The stored information may include a location, orientation, font size, or font color for printed information for a particular vial. The stored information may be retrieved based on a bar code read by the system.

Abstract: Disclosed herein is a method of transmitting point cloud data. The method may include acquiring point cloud data, encoding geometry information including positions of points of the point cloud data, generating one or more LODs based on the geometry information and selecting one or more neighbor points of each point to be attribute-encoded based on the one or more LODs, wherein the selected one or more neighbor points of each point are located within a maximum neighbor point distance, encoding attribute information of each point based on the selected one or more neighbor points of each point, and transmitting the encoded geometry information, the encoded attribute information, and signaling information.

Abstract: A system and method for fisheye image processing can be configured to: receive fisheye image data from at least one fisheye lens camera associated with an autonomous vehicle, the fisheye image data representing at least one fisheye image frame; partition the fisheye image frame into a plurality of image portions representing portions of the fisheye image frame; warp each of the plurality of image portions to map an arc of a camera projected view into a line corresponding to a mapped target view, the mapped target view being generally orthogonal to a line between a camera center and a center of the arc of the camera projected view; combine the plurality of warped image portions to form a combined resulting fisheye image data set representing recovered or distortion-reduced fisheye image data corresponding to the fisheye image frame; generate auto-calibration data representing a correspondence between pixels in the at least one fisheye image frame and corresponding pixels in the combined resulting fisheye image

Abstract: The present disclosure describes systems and techniques for creating a super-resolution image (122) of a scene captured by a user device (102). Natural handheld motion (110) introduces, across multiple frames (204, 206, 208) of an image of a scene, sub-pixel offsets that enable the use of super-resolution computations (210) to form color planes (212, 214, 216), which are accumulated (218) and combined (220) to create a super-resolution image (122) of the scene.

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: An apparatus includes a capturing unit, a first motion information acquisition unit configured to acquire a first captured image with a first parameter and first motion information, a second motion information acquisition unit configured to acquire second motion information, a setting unit configured to set a second parameter, a third acquisition unit configured to acquire driving information for either the optical system or the capturing unit, an estimation unit configured to estimate estimated information by converting motion blur of the object in the first captured image into motion blur of the object in a second captured image obtained in a case where second capturing is performed with the second parameter, and a notification unit configured to notify the estimated information.

Abstract: According to one embodiment, an image processing device includes storage and a processor. The storage is configured to store a statistical model generated by learning bokeh that occurs in a first image affected by aberration of an optical system and varies non-linearly in accordance with a distance to a subject in the first image. The processor is configured to acquire a second image affected by the aberration of the optical system, perform color correction on the second image to reduce a number of colors expressed in the second image, and input a third image, obtained by performing the color correction on the second image, into the statistical model and acquire first distance information indicating a distance to a subject in the third image.

Abstract: An information processing apparatus (2000) includes a first analyzing unit (2020), a second analyzing unit (2040), and an estimating unit (2060). The first analyzing unit (2020) calculates a flow of a crowd in a capturing range of a fixed camera (10) using a first surveillance image (12). The second analyzing unit (2040) calculates a distribution of an attribute of objects in a capturing range of a moving camera (20) using a second surveillance image (22). The estimating unit (2060) estimates an attribute distribution for a range that is not included in the capturing range of the moving camera (20).

Abstract: A method for automatically reconstituting the architecture, along a reinforcing axis, of the reinforcement of a composite material, includes acquiring images of the reinforcement of the composite material, each image being acquired along a section plane perpendicular to the reinforcing axis; for each image acquired, detecting, using a neural network, barycentre and/or the circumference of each section of the reinforcing thread; for at least one acquired reference image, assigning a tag corresponding to a reinforcing thread, to each detected barycentre or circumference; for each other acquired image, assigning, to each detected barycentre and/or each detected circumference, the tag of the corresponding barycentre in the acquired reference image; reconstituting the architecture of each reinforcing thread from each detected barycentre and/or circumference having the tag of the reinforcing thread and the position on the reinforcing axis associated with the acquired image on which the barycentre and/or the circumf

Abstract: An image recognition method and system based on deep learning are provided. The image recognition system includes a first recognizing engine, at least one second recognizing engine and a processing circuit. The second recognizing engine is activated to recognize an image when the first recognizing engine is recognizing the image. The processing circuit determines whether to interrupt the first recognizing engine recognizing the image according to a result outputted by the second recognizing engine after the second recognizing engine completes recognition of the image.