According to one aspect of the present invention, a pattern inspection apparatus includes reference outline creation processing circuitry configured to create a reference outline of a reference figure pattern, which serves as a reference, by using pattern data of a design pattern that serves as a base of a figure pattern formed on a substrate; outline extraction processing circuitry configured to extract an outline of the figure pattern in the measurement image from the measurement image using, as starting points, a plurality of points that are positioned on the reference outline; and comparison processing circuitry configured to compare the reference outline with the outline of the figure pattern.

A method for microscopic image acquisition based on a sequential slice. The method includes; acquiring a sample of the sequential slice and a navigation image thereof; identifying and labeling the sample of the sequential slice in the navigation image by utilizing methods of image processing and machine learning; placing the sample of the sequential slice in a microscope, establishing a coordinate transformation matrix for a navigation image-microscope actual sampling space coordinate, and navigating and locating a random pixel point in the navigation image to a center of the microscope's visual field; locating the sample of the sequential slice under a low resolution visual field, binding a sample acquisition parameter; based on the binding of the sample acquisition parameter, recording a relationship of relative of locations between a center point of a high resolution acquisition region and a center point after being matched with a sample template.

Introduced here are approaches to authenticating unknown persons based on variations in the spatial properties and directionality of blood flow through vessels over time. At a high level, these approaches rely on monitoring vascular dynamics to recognize unknown persons. For example, an authentication platform may examine digital images of an anatomical region to establish how a property of the vasculature within the anatomical region changed as a result of deformation. Examples of properties include the position, size, volume, and pressure of vessels included in the vasculature, as well as the velocity and acceleration of blood flowing through the vasculature.

The image processing device includes a change area detection unit which detects a change area, where an object has changed compared to the first image, in the second image obtained by observing the same observed area as an observed area in the first image, an image correction unit which performs a correction process to make the change area in the second image smaller relative to a non-change area where the object has not changed, and an image pair output unit which outputs an image pair of the second image processed by the image correction unit and the first image.

A method for adapting a matching model of an object comprising the step of providing an electronic image of the object; providing a matching model of the object, the matching model consisting of a plurality of points; determining a pose of the object in said electronic image by using a matching approach that uses said matching model; transforming the matching model according to said pose, yielding a transformed model; determining for at least one point of said transformed model a corresponding point in said electronic image; and adapting the matching model according to the at least one determined corresponding point.

Handwriting verification methods and related computer systems, and handwriting-based user authentication methods and related computer systems are disclosed. A handwriting verification method comprises obtaining a handwriting test sample containing a plurality of available parameters, extracting geometric parameters, deriving geometric features comprising an x-position value and a y-position value for each of a plurality of feature points in the test sample, performing feature matching between geometric features of the test sample and a reference sample, determining a handwriting verification result based at least in part on the feature matching, and outputting the handwriting verification result. Techniques and tools for generating and preserving electronic handwriting data also are disclosed. Raw handwriting data is converted to a streamed format that preserves the original content of the raw handwriting data. Techniques and tools for inserting electronic handwriting data into a digital image also are disclosed.

A method is disclosed of recognizing a logo of a vehicle. The method including obtaining a limited number of high resolution logos; populating a training dataset for each of the limited number of high resolution logos using gamma transformations; obtaining a low resolution image of a vehicle; and matching the low resolution image of the vehicle with the training dataset.

Signal processing devices and methods estimate transforms between signals using a least squares technique. From a seed set of transform candidates, a direct least squares method applies a seed transform candidate to a reference signal and then measures correlation between the transformed reference signal and a suspect signal. For each candidate, update coordinates of reference signal features are identified in the suspect signal and provided as input to a least squares method to compute an update to the transform candidate. The method iterates so long as the update of the transform provides a better correlation. At the end of the process, the method identifies a transform or set of top transforms based on a further analysis of correlation, as well as other results.

A method and system are provided. The method includes positioning facial feature base points in a face image in an obtained image. A deformation template is obtained, the deformation template carrying configuration reference points and configuration base points. In the facial feature base points, a current reference point is determined corresponding to the configuration reference point, and a to-be-matched base point is determined corresponding to the configuration base point. A target base point is determined that corresponds to the configuration base point and that is in a to-be-processed image. The target base point and the corresponding to-be-matched base point forming form a mapping point pair. A to-be-processed image point is mapped to a corresponding target location according to a location relationship between the target base point and the to-be-matched base point, and a location relationship between the mapping point pair and the to-be-processed image point.

The present invention includes an apparatus and method for determining time-varying stress experienced by a structure comprising: obtaining images that include the structure; segmenting the second and any subsequent images to include the static portions that are identified from the first image; computing with a processor the affine transformations between the first and second, and optionally subsequent images, sequence of images; estimating a deformation (i.e. translation and rotation) undergone by the structure; and converting the deformation to estimate the structural stress by using one or more scaling functions) to generate the time-varying stress experienced by the structure.