Systems and methods for assessing plotting device accuracy in aid of a process for qualifying plotter systems. The system and process involve an ideal (virtual) test pattern consisting of digital data defining a nominal grid augmented by geometric features (e.g., closed two-dimensional geometric shapes which respectively surround intersections or vertices of the nominal grid). The plotting device under test is commanded to print a test plot having a pattern that matches the test pattern, but the test plot may deviate from the test pattern. To measure the amount of deviation, first an image of the test plot on the printed medium is captured using an accurate optical scanner. Then a mathematical measurement process, implemented in a computer vision application (e.g., a software package), is employed to detect deviations of the test plot from the test pattern. A statistical analysis is then performed to determine whether the deviations are within specifications.

A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a first measure of pixel values in the first image, acquire a second image, estimate ambient light illuminating the first object based on the second image and modify the first measure of pixel values based on a second measure of pixel values corresponding to estimated ambient light based on the second image. The instructions include further instructions to perform a comparison of the modified first measure of pixel values to a third measure of pixel values determined from a third image of a second object, wherein the third image is previously acquired by illuminating the second object with a second light beam and, when the comparison determines that the first measure is equal to the third measure of pixel values within a tolerance, determine whether the first object and the second object are a same object.

An apparatus for detecting a specular surface in a scene is provided. The apparatus includes an illumination device configured to emit polarized light towards the scene. The apparatus further includes an imaging system configured to capture a first image of the scene based on light emanating from the scene. The light emanating from the scene includes one or more reflection of the emitted polarized light. The imaging system is further configured to capture a second image of the scene based on filtered light. The apparatus further includes a polarization filter configured to generate the filtered light by filtering the light emanating from the scene. The apparatus further includes processing circuitry configured to determine presence of the specular surface in the scene based on a comparison of the first image and the second image.

The present invention provides a personalized registration method for a template library of anatomical morphology and mechanical properties of materials of bone CT images. In the method, a large number of bone CT images of healthy persons are used to build a statistical model capable of containing anatomical morphology and mechanical properties of materials of bones, the parameterized description of bones of a patient is realized by a personalized registration method for the statistical model and bone CT images, a prosthesis template library is built by using images of the patient and registration parameters, and the template library is matched with the CT images of the patient by the personalized registration method to retrieve template images and prosthesis models similar to the bone conditions of the patient from the template library as the initial reference template for design of personalized prosthesis implants.

Methods and systems for detecting motion using video data from a smart camera device. In some embodiments, and by non-limiting example, this disclosure is directed to detecting motion in the compressed video domain. One aspect is a method comprising receiving compressed video data, extracting macroblocks and motion vectors for a plurality of frames in the compressed video data, identifying frame-level features for each of the plurality of frames based on the macroblocks and the motion vectors, calculating similarity features for each of the identified frame-level features based on the frame-level features identified in consecutive frames, and predicting motion for each of the plurality of frames by providing the frame-level features and the similarity features into a model trained to detect motion.

A computer includes a processor and a memory storing instructions executable by the processor to receive a plurality of first images of an environment in a first lighting condition, classify pixels of the first images into categories, mask the pixels belonging to at least one of the categories from the first images, generate a three-dimensional representation of the environment based on the masked first images, and generate a second image of the environment in a second lighting condition based on the three-dimensional representation and on a first one of the first images.

A method is disclosed. A server computer may receive, from a client computer, a first rule comprising one or more variables, the first rule configured to predict that an event is either a first classification or a second classification. The server computer applies the first rule to an initial data set of events to identify events that are associated with the first classification. The server computer evaluates performance of the first rule. The server computer provides data relating to the performance of the first rule to the client computer. The client computer automatically evaluates the performance of the first rule and generates a second rule in response to the data relating to the performance of the first rule. The server computer may then evaluate the second rule and provide performance data to the client computer. The server computer may use equi-height histograms to evaluate the performance of the rules.

There is provided a method and a system configured obtain an image of a semiconductor specimen including one or more arrays, each including repetitive structural elements, and one or more regions, each region at least partially surrounding a corresponding array and including features different from the repetitive structural elements, wherein the PMC is configured to, during run-time scanning of the semiconductor specimen, perform a correlation analysis between pixel intensity of the image and pixel intensity of a reference image informative of at least one of the repetitive structural elements, to obtain a correlation matrix, use the correlation matrix to distinguish between one or more first areas of the image corresponding to the one or more arrays and one or more second areas of the image corresponding the one or more regions, and output data informative of the one or more first areas of the image.

A system comprises an image capture device, an augmented reality (AR) display to display, and a processing device. The processing deice receives image data of a dental arch from the image capture device and processes the image data using a plurality of detection rules, where each detection rule detects one or more dental conditions. The processing device determines a dental condition for the dental arch based on the processing, determines a position of an area of interest on the dental arch, wherein the area of interest is associated with the dental condition, generates a visual overlay comprising an indication of the dental condition at the position of the area of interest, and outputs the visual overlay to the AR display, wherein the visual overlay is superimposed over a view of the dental arch on the AR display at the position of the area of interest.

Disclosed is a biometric information acquisition system and a processing method thereof. The biometric information acquisition system comprises a transparent substrate; a light source; a photoelectric conversion device, which is located at one side of the transparent substrate with the light source, receives light reflected by the transparent substrate and generates electrical signals; a processing device for obtaining biometric information based on the electrical signals. At least a portion of the transparent substrate is made of flexible material, and fits a predetermined portion of an organism on the other side of the transparent substrate based on a curved interface, therefore, ambient light incident to the photoelectric conversion device is reduced, an interference caused by the ambient light is reduced, accuracy of acquiring biometric characteristic information is improved. Because fitting with the curved interface can increase contact area, more biometric characteristic information of the predetermined portion can be obtained.