Abstract: In a target image generated by multi-resolution processing, a pixel of interest and a group of reference pixels are designated. In a corresponding image belonging to a level that is one level above, pixel value patterns are compared between a corresponding region of interest and corresponding reference regions so as to calculate weights. A modified pixel-of-interest value is determined by means of multiplying the reference pixel values by the weights.

Abstract: An image processing apparatus includes a processor configured to: acquire a registration request that a user uses to request a print service apparatus to register the image processing apparatus and the user; acquire identification information on an administrator having an administrative right to the print service apparatus; in response to the registration request, request the print service apparatus to register the image processing apparatus and the user; and request the administrator identified by the identification information to perform authentication under the administrative right to register the image processing apparatus and the user on the print service apparatus by transmitting, to the administrator, authentication information, used to register the image processing apparatus, and identification information on the user that are acquired from the print service apparatus.

Abstract: Methods, apparatus, and processor-readable storage media for localized anomaly detection in digital documents are provided herein. An example computer-implemented method includes identifying at least one image in a digital document; processing the identified at least one image using at least an image compression algorithm; applying a first machine learning model to the at least one processed image, wherein the first machine learning model is trained to detect whether the at least one image comprises one or more modifications; in response to detecting that the at least one image comprises at least one modification, applying a second machine learning model to identify a location in the at least one image corresponding to the at least one modification; and generating an indication that identifies the location of the at least one modification in the at least one image.

Abstract: The described aspects and implementations enable efficient detection and classification of objects with machine learning models that deploy a bird's-eye view representation and are trained using depth ground truth data. In one implementation, disclosed are system and techniques that include obtaining images, generating, using a first neural network (NN), feature vectors (FVs) and depth distributions pixels of images, wherein the first NN is trained using training images and a depth ground truth data for the training images. The techniques further include obtaining a feature tensor (FT) in view of the FVs and the depth distributions, and processing the obtained FTs, using a second NN, to identify one or more objects depicted in the images.

Abstract: An information processing apparatus includes a processor configured to: receive multiple print instructions; and generate a new print instruction including the multiple received print instructions, the new print instruction being an instruction in which at least one predetermined page is added to the top or end of a second print instruction, the second print instruction having a page count less than the page count of a first print instruction, the page count of the first print instruction being the highest among the multiple print instructions, the at least one added, predetermined page having a page count equal to the difference between the page count of the first print instruction and the page count of the second print instruction.

Abstract: In a printing device, when: a memory stores a conversion rule for converting a pre-conversion PJL command to a post-conversion PJL command; and a PJL command corresponding to the pre-conversion PJL command is received, a controller performs a PJL command execution process to convert the received PJL command to the post-conversion PJL command according to the conversion rule and execute a process based on the post-conversion PJL command. On a condition that a rule-targeting command to execute a rule-targeting process targeting the conversion rule is received via a LAN interface according to a first protocol not ensuring a prescribed level of security, the controller prohibits execution of the rule-targeting process based on the rule-targeting command. On a condition that the rule-targeting command is received via an interface different from the LAN interface, the controller performs the rule-targeting process based on the rule-targeting command.

Abstract: The present application is suitable for use in the technical field of computers, and provides a smart diagnosis assistance method and terminal based on medical images, comprising: acquiring a medical image to be classified; pre-processing the medical image to be classified to obtain a pre-processed image; and inputting the pre-processed image into a trained classification model for classification processing to obtain a classification type corresponding to the pre-processed image, the classification model comprising tensorized network layers and a second-order pooling module. As the trained classification model comprises tensor decomposed network layers and a second-order pooling module, when processing images on the basis of the classification model, more discriminative features related to pathologies can be extracted, increasing the accuracy of medical image classification.

Abstract: Provided are a hand pose estimation method and apparatus, and a storage medium in embodiments of the present disclosure disclose. The method includes: obtaining a feature map corresponding to a hand depth image; inputting the feature map into an image feature extraction network to obtain an image information set feature map corresponding to the hand depth image; up-sampling the image information set feature map to obtain a target resolution feature map; inputting the target resolution feature map into a predetermined depth classification network to obtain depth maps corresponding to hand key points in the hand depth image, wherein the predetermined depth classification network is configured to distinguish hand key points of different depths; and determining, based on the depth maps, depth values corresponding to the hand key points to perform hand pose estimation.

Abstract: An image-forming apparatus includes a controller, a storage, and a communicator. The controller establishes a connection with a terminal device through the communicator by QUIC, stores, in the storage, identification information for identifying the connection and key information to be used for encryption of transmission/reception information transmitted and received to and from the terminal device, performs communication of the transmission/reception information with the terminal device through HTTP/3, and establishes, when the connection with the terminal device is disconnected, a connection with the terminal device using the identification information and the key information so that the communication of the transmission/reception information with the terminal device is resumed.

Abstract: An exemplary image registration system identifies a subsurface structure at a surgical site based on subsurface imaging data from a subsurface image scan at the surgical site. The image registration system uses the identified subsurface structure at the surgical site for a registration of endoscopic imaging data from an endoscopic imaging modality with additional imaging data from an additional imaging modality. Corresponding systems and methods are also disclosed.

Abstract: A raster image processor (RIP) system is used in a printing system to process a variety of different jobs. A front end receives the jobs and determines the job type. The job types include a print job, a preview job, and an estimation job. Depending on the type of job, the front end configures the RIPs within RIP system accordingly to process the job. The RIPs may process the job in parallel, with a high performance RIP processing the first page of the job. If the job is not processed in parallel, then the front end assigns the job to a very high performance RIP. The front end also assigns the preview job to a preview RIP and the estimation job to an estimation RIP. The front end configures RIPs as needed.

Abstract: A method and system for deriving particle characteristics is described. The method comprises imaging the movement of at least one free-floating particle in a liquid environment at at least one moment in time, determining for at least one moment in time a movement parameter based on the imaged movement of the free-floating particles in the liquid environment, and deriving from the movement parameter a characteristic of the at least one particle.

Abstract: The present disclosure provides a system for monitoring users/workplaces in real-time. The system includes video monitoring device(s) for capturing video frames of a user/workplace. The system also includes a client monitoring module including: a transceiving module for receiving credentials from the user; a user registration and authentication module for authenticating the user; and a processing module for: analysing the video frames in real-time to determine if object of interest(s) is present and accordingly determining at least one action of interest of the at least one object of interest; and determining if the object of interest is passing a predefined threshold. When object of interest passes the predefined threshold frames, the client monitoring module may analyse the video frames and take a preventive action or may send the video frames to a server for further analysis and preventive action.

Abstract: A system for treating plants for use in agriculture, comprising a spray boom provided with a plurality of spray nozzles supplied by a spray control device, the apparatus comprising a set of cameras capable of capturing images of a crop area, a digital processing device capable of analyzing the images captured by the camera, identifying plants to be treated and sending commands to the spray control device with a view to selectively spraying a product on plants to be treated, the apparatus also comprising an arrangement for lighting the crop area captured by the cameras. According to the invention, the lighting arrangement comprises a plurality of projectors distributed along the boom and having fields of illumination such that each point of a scene captured by a camera receives light from at least two projectors in at least two different orientations in a plane passing through the point and the projectors in question.

Abstract: Provided are a hand gesture detection method and device, and a computer storage medium. The method includes: obtaining an initial depth image including a hand to be detected, and performing detection processing on the initial depth image by using a backbone feature extractor and a bounding box detection model to obtain initial bounding boxes and a first feature map corresponding to the hand to be detected; determining one of the initial bounding boxes as a target bounding box; cropping, based on the target bounding box, the first feature map by using RoIAlign feature extractor, to obtain a second feature map corresponding to the hand to be detected; and performing, based on the second feature map, a three-dimensional gesture estimation processing on the hand to be detected by using a gesture estimation model to obtain a gesture detection result of the hand to be detected.

Abstract: An obstacle detecting device includes: an image converting portion for converting, into a circular cylindrical image, an image captured by a camera installed on a vehicle; a detection subject candidate image detecting portion for detecting a detection subject candidate image through pattern matching; an optical flow calculating portion for calculating an optical flow; an outlier removing portion for removing an optical flow that is not a detection subject; a TTC calculating portion for calculating a TTC (TTCX, TTCY); a tracking portion for generating a region of the detection subject on the circular cylindrical image by tracking the detection subject candidate; and a collision evaluating portion for evaluating whether or not there is the risk of a collision, wherein the optical flow calculating portion calculates the optical flow based on the detection subject candidate image and the region.

Abstract: A system for obtaining a file on a network and printing the file, comprises: a determination unit configured to determine a type of an account of a user; a decision unit configured to decide a printing target file from a plurality of files on the network in accordance with a condition corresponding to the type determined by the determination unit; and a printing unit configured to obtain the printing target file decided by the decision unit from the network and print the printing target file.

Abstract: A control circuit facilitates compressing source field information (such as, for example, information that comprises a scalar field and or a vector field) having a corresponding initial space for a given object into a corresponding compact representation. That source field information may comprise a three-dimensional object represented as a two-dimensional manifold embedded in Euclidean three-dimensional space approximated via polygon mesh. This can comprise subdividing the initial space into a plurality of subspaces and generating a fixed-dimensionality vector representation for each field that corresponds to one of the subspaces. These teachings can then provide for inputting the fixed-dimensionality vector representations and query point coordinates corresponding to each of the subspaces to a field estimator neural network (such as, but not limited to, a neural network configured as an encoder-decoder machine learning model) trained to output corresponding field values.

Abstract: When a printer driver is installed, identification information of a printing apparatus set as an output destination of print data of the printer driver is registered in a print permission list in an administrator access area. The installed printer driver outputs the print data for the printing apparatus when the identification information of the printing apparatus to which the print data of the printer driver is output is registered in the print permission list. The installed printer driver does not output the print data for the printing apparatus when the identification information of the printing apparatus is not registered in the print permission list.

Abstract: A method for defending against an adversarial sample in image classification includes: denoising, by an adversarial denoising network, an input image to acquire a reconstructed image; acquiring, by a target classification model, a predicted category probability distribution of the reconstructed image; acquiring, by the target classification model, a predicted category probability distribution of the original input image; calculating an adversarial score of the input image, and determining the input image as an adversarial sample or a benign sample according to a threshold; outputting a category prediction result of the reconstructed image if the input image is determined as the adversarial sample; and outputting a category prediction result of the original input image if the input image is determined as the benign sample. A system for defending against an adversarial sample in image classification, and a data processing terminal are further provided.