Abstract: A passive sensor is used in conjunction with a trained machine learning classifier to make a You Are The One/You Are Not The One (YATO/YANTO) classification or determination as to whether an object, such as a threat, is moving toward a platform. The trained machine learning classifier utilizes a feature vector generated from conditioned temporal data and angular data obtained from passive sensor carried by the platform.

Abstract: Systems, devices, and methods are described herein for improving object detection frameworks. Proposed regions can be used to identify similar images from a novel image set. Once identified, a weighted average of the feature representations of the similar images and/or a probability distribution of the classification labels for those images can be generated. The weighted average of the feature representations and/or the probability distribution can be used to steer the predicted classification confidence and/or predicted bounding box coordinates of the object detection framework. The disclosed techniques can be easily integrated with the object detect framework to improve the accuracy of its predictions without adding additional trainable parameters so as to refrain from adding complexity to the learning process.

Abstract: A display device includes: a display panel to display an image including a first area and a second area; a fingerprint sensor disposed under the display panel in the first area; a touch sensor to sense a touch position according to a touch of a user on the display panel in the first area and the second area; a sensor control unit to control an operation of the fingerprint sensor and the touch sensor; a display driving unit to control an image display operation of the display panel; and an identification pattern disposed in a portion of the first area to recognize a position of a fingerprint sensor area to the user; wherein the sensor control unit sequentially or simultaneously is configured to drive the touch sensor and the fingerprint sensor, and wherein the first area is enclosed by the second area in a plan view.

Abstract: A method for level partition of a point cloud includes that: a point cloud bitstream is decoded; a maximum permissible value of a first syntax element in the point cloud bitstream is determined as a constant value; the first syntax element is decoded to obtain a value of the first syntax element; a number of levels of detail (LODs) in a process of decoding the attribute information is determined according to the value of the first syntax element; and the attribute information is decoded according to the number of the LODs and the geometry information, to determine a reconstructed point cloud of the point cloud.

Abstract: An image processing method includes converting an original image represented by a first color space into the original image represented by a second color space, where a correlation between color components of respective channels in the second color space of the original image is smaller than a correlation between color components of respective channels in the first color space; denoising channel images formed by the color components of the respective channels in the second color space respectively to obtain denoised images corresponding to the respective channel images; and obtaining a target image based on the denoised images.

Abstract: The present invention provides autoradiography methods and systems for imaging via the detection of alpha particles, beta particles, or other charged particles. Embodiments of the methods and systems provide high-resolution 3D imaging of the distribution of a radioactive probe, such as a radiopharmaceutical, on a tissue sample. Embodiments of the present methods and systems provide imaging of tissue samples by reconstruction of a 3D distribution of a source of particles, such as a radiopharmaceutical. Embodiments of the methods and systems provide tomographic methods including microtomography, macrotomography, cryomicrotomography and cryomacrotomography.

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.