Abstract: An anti-dazzle imaging camera is provided that includes a photorefractive crystal that is wavelength-agnostic. The photorefractive crystal is configured to receive an optical beam. When the optical beam includes no laser, the photorefractive crystal is configured to pass the optical beam unchanged to an imaging detector. When the optical beam includes a laser, the photorefractive crystal is configured to attenuate the laser to generate a modified optical beam and to pass the modified optical beam to the imaging detector.

Abstract: A system, method and program product for implementing image recognition. A system is disclosed that includes a training system for generating a multi-feature multi-matcher fusion (MMF) predictor for scoring pairs of images, the training system having: a neural network configurable to extract a set of feature spaces at different resolutions based on a training dataset; and an optimizer that processes the training dataset, extracted feature spaces and a set of matcher functions to generate the MMF predictor having a series of weighted feature/matcher components; and a prediction system that utilizes the MMF predictor to generate a prediction score indicative of a match for a pair of images.

Abstract: A system performs identification system enrollment and validation and/or authentication. In some examples, the system receives a digital representation of a biometric for a person from a device, biographic information for the person, and monitoring of capture of the biometric and determines whether the biometric is genuine. In others, the system obtains data from a network search using the biometric and the information, generates a comparison of the biometric and the information to the data from the network search, and uses the comparison to determine whether the person is who the person asserts. In still others, the system performs a number of identity checks using the information and the biometric, weights certainty and risk of each of the number of identity checks, and determines whether to approve the person for identification system enrollment using an aggregation of the identity checks.

Abstract: Disclosed herein are a method and a system for creating a registered image that integrates the information of CT and CBCT images. With the present method and system, medical practitioners can precisely transform the information of CT image-based treatment plan into the CBCT image so as to accurately control the dosage and location of a radiation therapy. Accordingly, also disclosed herein are methods of treating a cancer in the subject with the aid of the method and/or system of the present disclosure.

Abstract: One or more computing devices, systems, and/or methods for personalized banner generation and display is provided. For example, an image comprising a product object depicting a product is identified. A background of the image is identified and removed. Features of the product object are evaluated to determine a product type of the product. A new background is selected based upon the product type. A banner comprising the new background and the product object positioned over the new background at a position within the banner is generated. The banner is rendered on a display of a computing device through a user interface.

Abstract: An object of the present invention is to determine whether a PDF file is an SPDF file without using a special command. The present invention is an information processing apparatus including: at least one processor that executes the instructions, the instructions, when executed, causing the information processing apparatus to perform operations including: first extracting to extract a character area within an image object included in a file; first determining to determine whether the file is a searchable file including an image and results of character recognition corresponding to the image based on a position relationship between the character area extracted by the first extracting and an area in which a character object included in the file is drawn; and generating to generate a file including results of character recognition processing by performing the character recognition processing for the image object.

Abstract: A method for detecting voids in a metal line of a semiconductor device die includes: scanning an electron beam upon a selected location on the die containing the metal line; determine gray levels in an image produced by collected electrons of the electron beam backscattered from the selected location on the die; and identifying one or more voids in the metal line based on differences between the gray levels in the image.

Abstract: A tracking algorithm includes a tracking failure detection technique using a key points selection algorithm. As a result, the described system is able to work on an embedded device in real time, providing high quality vehicle detection and tracking, in some embodiments. A vision system detects and tracks vehicles from sequences of images taken from another moving vehicle in real-time on an embedded platform. The system can achieve real-time performance on an embedded platform in some embodiments, taking into account that modern boosting detectors are too slow for use in such a system. A tracker includes an algorithm for tracking and an algorithm for detection of tracking failures. The tracking algorithm is based on an optical flow calculation for key points selected based on the distribution of features from the last detection. The algorithm for detection of tracking failures is based on an estimation of low confidence detections.

Abstract: A dummy substrate detection method includes: acquiring a real-time image of a conveying route when a cut substrate enters the conveying route; matching and comparing the acquired real-time image of the conveying route with a first reference image, and determining whether or not there is a dummy substrate on the conveying route according to a comparison result. The first reference image is an image of the conveying route with no dummy substrate. A dummy substrate detector device and a dummy substrate detector system are further provided.

Abstract: This application provides a depth-map-based ground detection method and apparatus. The method includes: screening first sample points according to depth values of points in a current depth map; determining space coordinates of the first sample points, and determining space heights of the first sample points according to current gravity acceleration information and the space coordinates; screening second sample points in the first sample points according to the space heights; determining an optimal ground equation according to space coordinates of the second sample points; and determining a ground point in the depth map by using the optimal ground equation. Because the accuracy of the sample points that undergo secondary screening is high, the ground detection precision is high. Because this application is not excessively dependent on a depth value, the calculation complexity is low, and operation can be performed on various hardware.

Abstract: A computer-implemented method for digitizing a document, wherein the document has assigned a classification scheme may be provided. A digital image and an identifier of the classification scheme may be received, the image representing a portion of the document. A segmentation of the image may be determined into one or more image segments; for each of the image segments, content information may be captured from the image segment and a category may be assigned to the image segment, the category being selected from the classification scheme. One or more digitization segments may be selected from the segmentation. A graph model of the document may be populated, wherein each of the digitization segments is represented by a segment node of the graph model.

Abstract: An image-processing device performing: extracting features from a target image based on a shape, the shape including sub parts each being a group of feature points each being correlated with a position within an object; deriving an estimated shape by applying a global model to an initial shape, the global model representing a relation between one of the features extracted and a motion of the initial shape; detecting, in the sub parts, an occluded sub part by comparing an estimated shape derived from a previous image and an estimated shape derived from a current image; and generating a final output shape by combining estimated shapes each derived by applying local models to the initial shape, the local models each representing a relation between the feature and a motion of a sub part in the sub parts and each restricting a motion of at least one of the sub parts.

Abstract: An device extracts a luminance that satisfies a rule from among luminance of being observed values of electromagnetic waves in a plurality of wavelength bands different mutually and calculates a first interim optical path radiance based on the luminance. The observed values is associated with each pixel constituting an observation image for each of the wavelength bands. The device calculates a final optical path radiance for each of the wavelength bands by weighting the first and a second interim optical path radiance including information on atmosphere with a weighting coefficient and adding those weighted luminance. The weighting coefficient represents reliability for an assumption of a dark pixel that is a pixel assumed not to be affected by electromagnetic waves reflected by an object. The device subtracts the final optical path radiance from all pixels of the observation image for each of the wavelength bands.

Abstract: A hot spot defect detecting method and a hot spot defect detecting system are provided. In the method, hot spots are extracted from a design of a semiconductor product to define a hot spot map comprising hot spot groups, wherein local patterns in a same context of the design yielding a same image content are defined as a same hot spot group. During runtime, defect images obtained by an inspection tool performing hot scans on a wafer manufactured with the design are acquired and the hot spot map is aligned to each defect image to locate the hot spot groups. The hot spot defects in each defect image are detected by dynamically mapping the hot spot groups located in each defect image to a plurality of threshold regions and respectively performing automatic thresholding on pixel values of the hot spots of each hot spot group in the corresponding threshold region.

Abstract: A method and device for determining an ego-motion of a vehicle are disclosed. Respective sequences of consecutive images are obtained from a front view camera, a left side view camera, a right side view camera and a rear view camera and merged. A virtual projection of the images to a ground plane is provided using an affine projection. An optical flow is determined from the sequence of projected images, an ego-motion of the vehicle is determined from the optical flow and the ego-motion is used to predict a kinematic state of the car.

Abstract: Methods and systems are provided for generating harmonized images for input composite images. A neural network system can be trained, where the training includes training a neural network that generates harmonized images for input composite images. This training is performed based on a comparison of a training harmonized image and a reference image, where the reference image is modified to generate a training input composite image used to generate the training harmonized image. In addition, a mask of a region can be input to limit the area of the input image that is to be modified. Such a trained neural network system can be used to input a composite image and mask pair for which the trained system will output a harmonized image.

Abstract: A device for medical imaging of coronary vessels includes a data extracting module configured to extract a first vessel map from computed tomography angiography data covering at least one reference cardiac phase and a set of second vessel maps from three-dimensional rotational angiography data covering at least one cardiac cycle. An interpolation module is configured to generate a series of warped versions of the first vessel map aligned with the set of second vessel maps, the series starting at the at least one reference cardiac phase. A merging module is configured to merge the series and the set of second vessel maps at the different phases in order to generate a final imaging map of the coronary vessels.

Abstract: Systems, methods, and devices for detecting brake lights are disclosed herein. A system includes a mode component, a vehicle region component, and a classification component. The mode component is configured to select a night mode or day mode based on a pixel brightness in an image frame. The vehicle region component is configured to detect a region corresponding to a vehicle based on data from a range sensor when in a night mode or based on camera image data when in the day mode. The classification component is configured to classify a brake light of the vehicle as on or off based on image data in the region corresponding to the vehicle.

Abstract: Provided are a method and apparatus of generating a preview of a customizable hairstyle on an image of a client. The method includes receiving image data that is to be processed by a computer processor to generate the image of the client. An existing hairstyle of the client's is prepared as a virtual representation of the client's actual hair to appear in the image and render the virtual representation of the existing hairstyle customizable. Starting with the existing hairstyle appearing in the image of the client, a custom hairstyle is created to appear in the image of the client by modifying the existing hairstyle in the image.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system for detecting whether a road on which a host vehicle travels is a one-way road may include at least one processing device. The processing device may be programmed to receive at least one image associated with an environment of the host vehicle, identify a first plurality of vehicles on a first side of the road, identify a second plurality of vehicles on a second side of the road, determine a first facing direction associated with the first plurality of vehicles, determine a second facing direction associated with the second plurality of vehicles, and cause at least one navigational change of the host vehicle when the first facing direction and the second facing direction are both opposite to a heading direction of the host vehicle.