Abstract: In one aspect, the present application provides a computer-implemented method for generating a digital data set representing a target tooth arrangement, comprising: obtaining a first 3D digital model representing an initial tooth arrangement; extracting at least one feature from each tooth of the first 3D digital model; generating a feature vector based on the extracted features; and aligning the first 3D digital model using a Statistical Shape Model based on the feature vector to obtain a second 3D digital model representing a target tooth arrangement.

Abstract: The present invention relates to a method and an apparatus for estimating a user pose using a three-dimensional virtual space model. The method of estimating a user pose including the position and orientation information of a user for a three-dimensional space includes a step of receiving user information including an image acquired in a three-dimensional space, a step of confirming a three-dimensional virtual space model constructed based on spatial information including depth information and image information for the three-dimensional space, a step of generating corresponding information corresponding to the user information in the three-dimensional virtual space model, a step of calculating similarity between the corresponding information and the user information, and a step of estimating a user pose based on the similarity.

Abstract: An image processing method includes searching for a next pixel of a skeleton branch of a target image based on an already-searched current pixel of the skeleton branch, and determining whether the skeleton branch is a burr branch based on a number of already-searched pixels of the skeleton branch.

Abstract: Disclosed herein is a system and method of identifying new products on a retail shelf using a feature extractor trained to extract features from images of products on the shelf and output identifying information regarding the product in the product image. The extracted features are compared to extracted features in a product library and a best-fit is obtained. A new product is identified if the distance between the features of the product on the shelf and the features of the best-fit product from the product library are above a predetermined threshold.

Abstract: This application discloses a traffic light recognition method and apparatus in the field of artificial intelligence that relate to an automated driving technology. The recognition apparatus determines location information of n first traffic lights in a first image based on current positioning information of a vehicle, a calibration parameter of an image sensor, and prestored map data; and detects the first image by using an image detection method, to obtain location information of m second traffic lights in the first image and indication information of the m second traffic lights. This effectively reduces a traffic light recognition error, and improves recognition accuracy.

Abstract: One variation of a method includes, at a sensor block: detecting a set of objects within a region-of-interest in a frame; detecting an object type of each object; detecting a location of each object within the region-of-interest; and storing object types and object locations of the set of objects in a set of containers. The method further includes, at the computer system: accessing a database of commissioning images; extracting a commissioning image annotated with boundaries from the database; initializing a visualization layer of a set of pixels representing the region-of-interest; and calculating a frequency of presence of the object type intersecting each pixel based on the set of containers; calculating a color value for each pixel based on the frequency of presence; and assigning the color value to each pixel in the visualization layer; and generating a heatmap of the region-of-interest based on the visualization layer and the commissioning image.

Abstract: Systems and methods for digitized document image text contouring are provided. One or more memories may be coupled to one or more processors, the one or more memories including instructions operable to be executed by the one or more processors. The one or more processors may be configured to receive a digitized document image. The one or more processors may be configured to preprocess the digitized document image to generate a plurality of contours. The one or more processors may be configured to adjust a plurality of bounding boxes of the plurality of contours; analyze the adjusted plurality of bounding boxes; create one or more clips based on the analysis; dynamically threshold the one or more clips; perform optical character recognition of the one or more clips; and receive output responsive to the optical character recognition.

Abstract: An example virtual reality (VR) system includes a VR headset, a plurality of monitoring stations, and an image processing device. Each of the monitoring stations includes an image sensor to capture images of the VR headset and an environment in which the VR headset is used. The image processing device is to process the images captured by the monitoring stations to detect an object in the environment, and to transmit, to the VR headset, information that includes notification of the object detected.

Abstract: There is provided an abnormal communication detection apparatus capable of reducing over-detection.

Abstract: A drill hole inspection method for using a drill hole inspection system to inspect a drill hole of a printed circuit board (PCB) is provided. The drill hole inspection method includes: scanning the PCB to obtain 3-dimensional (3D) image voxel data of the PCB; determining a first-dimension interval corresponding to the PCB along one direction of the 3D image voxel data; determining, in a plane of the 3D image voxel data which is orthogonal to the direction, a 2-dimensional (2D) position corresponding to the drill hole; extracting a portion of the 3D image voxel data as drill hole voxel data according to the first-dimension interval and the 2D position; analyzing the drill hole voxel data to obtain an inspection result of the drill hole; and outputting the inspection result through an output component. In addition, a drill hole inspection system and an inspection device using the same are also provided.

Abstract: To efficiently determine learning data for estimating an unknown behavior by a machine, an information processing device according to the present invention is provided with: an information acquisition means for acquiring an image including a person; and a feature conversion means for converting skeleton information extracted from the image into a feature vector which indicates elements constituting a behavior of the person and is a lower dimension than the skeleton information.

Abstract: Methods and systems for modification of electronic system operation based on acoustic ambience classification are presented. In an example method, at least one audio signal present in a physical environment of a user is detected. The at least one audio signal is analyzed to extract at least one audio feature from the audio signal. The audio signal is classified based on the audio feature to produce at least one classification of the audio signal. Operation of an electronic system interacting with the user in the physical environment is modified based on the classification of the audio signal.

Abstract: Provided herein are systems and related methods of performing solar field and receiver inspections based on polarimetric-enhanced imaging.

Abstract: An accurate subject distance can be calculated on the basis of a camera captured image even in a case where the attachment angle of a camera is deviated. An image captured with a camera having a wide-angle lens is input to perform distortion correction and generate a corrected image. Moreover, the inclination of a vertical object in the real world in the corrected image is calculated. The deviation angle of the camera depression angle of the camera is calculated on the basis of the inclination of the vertical object. An object distance calculation image is generated in consideration of the camera depression angle deviation angle. The distance of an object included in the camera captured image is calculated from the object distance calculation image.

Abstract: A method and apparatus, device, and storage medium for generating an image processing model and processing images based on the generated image processing model. The method includes generating an initial model for an image resolution processing, the initial model comprising an input layer, an output layer, and an intermediate layer; obtaining a training image comprising a first image and a second image, the first image being obtained by performing a resolution reduction processing on the second image; inputting image data of the first image into the intermediate layer from the input layer for a convolution calculation, and obtaining result data based on the convolution calculation, the result data comprising channel output data of N*N channels; and performing a parameter update on convolution kernel parameters in the intermediate layer based on the result data and the second image, and generating the image processing model according to the initial model.

Abstract: A method of predicting cancer recurrence risk for an individual includes receiving patient spatial multi-parameter cellular and sub-cellular imaging data for a tumor of the individual, and analyzing the patient spatial multi-parameter cellular and sub-cellular imaging data using a prognostic model for predicting cancer recurrence risk to determine a predicted cancer recurrence risk for the individual, wherein the joint prognostic model is based on spatial correlation statistics among features derived for a plurality of intra-tumor spatial domains from spatial multi-parameter cellular and sub-cellular imaging data obtained from a plurality of cancer patients.

Abstract: A method for characterizing a sample using spectral images of the sample. At least one volume of values of an observed parameter is generated from the images for a plurality of coordinates of the pixels of the images and a plurality of acquisitions. At least one set of input data from the volume is extracted, with the input data corresponding to the values of the parameter, for a pixel of given coordinates in various acquisitions, to which values at least one conversion function has been applied. The at least one neural network is trained using the input data in order to extract therefrom at least one feature of the sample to be characterized. The at least one feature extracted by the neural network is used to perform a classification of the input data into a plurality of classes, each class being representative of at least one feature of the sample.

Abstract: Disclosed is a method and apparatus for extracting data in a deep learning model. The method includes receiving an input query, determining a first decision boundary set being a subset of a decision boundary set corresponding to a target layer of the deep learning model, extracting a decision region including the input query based on the first decision boundary set, and extracting data included in the decision region.

Abstract: The present disclosure is directed to systems and methods for analyzing digital images to determine alphanumeric strings depicted in the digital images. An electronic device may generate a set of filtered images using a received digital image. The electronic device may also perform an optical character recognition (OCR) technique on the set of filtered images, and may filter out any of the set of filtered images according to a set of rules. The electronic device may further identify a set of common elements representative of the alphanumeric string depicted in the digital image, and determine a machine-encoded alphanumeric string based on the set of common elements.

Abstract: A method for segmenting a camouflaged object image based on distraction mining is disclosed. PFNet successively includes a multi-layer feature extractor, a positioning module, and a focusing module. The multi-layer feature extractor uses a traditional feature extraction network to obtain different levels of contextual features; the positioning module first uses RGB feature information to initially determine the position of the camouflaged object in the image; the focusing module mines the information and removes the distraction information based on the image RGB feature information and preliminary position information, and finally determines the boundary of the camouflaged object step by step. The method of the present invention introduces the concept of distraction information into the problem of segmentation of the camouflaged object and develops a new information exploration and distraction information removal strategy to help the segmentation of the camouflaged object image.