Wafer-to-wafer and within-wafer image contrast variations can be identified and mitigated by extracting an image frame during recipe setup and then during runtime at the same location. Image contrast is determined for the two image frames. A ratio of the contrast for the two image frames can be used to determine contrast variations and focus variation.

A cross reality system receives tracking information in a tracking map and first location metadata associated with at least a portion of the tracking map. A sub-portion of a canonical map is determined based at least in part on a correspondence between the first location metadata associated with the at least the portion of the tracking map and second location metadata associated with the sub-portion of the canonical map. The sub-portion of the canonical map may be merged with the at least the portion of the tracking map into a merged map. The cross reality system may further generate the tracking map by using at least the pose information from one or more images and localize the tracking map to the canonical may at least by using a persistent coordinate frame in the canonical map and the location metadata associated with the location represented in the tracking map.

The present disclosure relates to a method for modeling a personalized breast implant including the operations of: obtaining medical image data and body scan data; obtaining first image data by 3D modeling the medical image data; obtaining second image data by 3D modeling the body scan data; creating third image data by merging the first image data and the second image data; and creating breast implant appearance information on the basis of the third image data.

A technique of generating surgical information from intra-operatively acquired image data of vertebrae and pre-operatively acquired image data of the vertebrae is presented. A method implementation includes obtaining first image segments each containing a different vertebra, and second image segments each containing a different vertebra. The first image segments have been derived by processing the pre-operatively acquired image data, and the second image segments have been derived by processing the inter-operatively acquired image data. The method includes identifying one of the second image segments and one of the first image segments that contain the same vertebra, and determining a transformation that registers the identified first image segment and the identified second image segment. The method includes generating surgical information based on the transformation and the identified first image segment.

A medical apparatus includes a registration tool, which includes a position sensor, A position-tracking system is configured to acquire position coordinates of the sensor in a first frame of reference defined by the position-tracking system. A processing unit is configured to receive 3D image data with respect to the body of the patient in a second frame of reference, to generate a 2D image of the surface of the patient based on the 3D image data, to render the 2D image to a display screen, and to superimpose onto the 2D image icons indicating locations of respective landmarks. The processing unit receives the position coordinates acquired by the position-tracking system while the registration tool contacts the locations on the patient corresponding to the icons on the display, and registers the first and second frames of reference by comparing the position coordinates to the three-dimensional image data.

In a method of using a structured-light based system, real-time 2D images of a portion of a field of view are captured using an endoscope. A portion of an object in the field of view is illuminated with a structured light pattern, and light reflected from the field of view is detected. From the reflected light, a 3D image of the field of view is constructed, and 3D locations of points on a surface of the object are determined. The real time 3D spatial position of the endoscope and/or a surgical tool is determined. If a distance between the surface the endoscope and/or surgical tool, as determined using the 3D spatial position, falls below a predetermined distance, an alert is generated to notify a user.

There are provided a method and associated system for determining compliance of a part having teeth, crests or roots with a reference drawing. The method includes providing an image of the part; overlaying and aligning the reference drawing with the image of the part; analyzing the image of the part with the aligned overlay to extract a plurality of measurement points on the image of the part, each being associated with a corresponding crest or root of the teeth; and comparing the image of the part to the reference drawing in the crest or root regions to determine if the part is within a predetermined tolerance at each measurement point. The method is particularly suited for the inspection of parts having an uneven profile.

The present disclosure discloses a sticker processing method, an apparatus, an electronic device and a computer-readable storage medium. The method includes: acquiring an image and a sticker; determining a target reference line, where the target reference line is used to identify an adding position of the sticker in the image; detecting a position change of the sticker in the image in response to a user's moving operation on the sticker; determining a final attachment state of a preset reference line on the sticker and the target reference line according to the position change; and moving the sticker to the adding position if the final attachment state is an attached state.

Embodiments of the present invention are directed to learning of an appropriate dictionary which has a high expression ability of minority data while preventing reduction of an expression ability of majority data. A dictionary generation apparatus which generates a dictionary used for discriminating whether data to be discriminated belongs to a specific category includes a generation unit configured to generate a first dictionary based on learning data belonging to the specific category and a selection unit configured to estimate a degree of matching of the learning data at each portion with the first dictionary using the generated first dictionary and select a portion of the learning data based on the estimated degree of matching, wherein the generation unit generates a second dictionary based on the selected portion of the learning data.

The present disclosure provides a point cloud data processing method, apparatus, electronic device and computer readable storage medium, which relates to computer vision technology and may be used for autonomous driving. A specific implementation solution is as follows: obtaining a first feature vector of each point in first point cloud data, and determining at least one first key point in the points in the first point cloud data according to the first feature vectors of respective points; according to the and a preset first conversion parameter between second point cloud data and the first point cloud data, obtaining second key points of the second point cloud data corresponding to the first key points in the at least one first key point, as candidate matching points; according to the first point cloud data, the second point cloud data and a preset search radius, determining at least one first neighboring point of the and at least one second neighboring point of the candidate matching point corresponding to the at least one first key point; determining a matching point with which the at least one first key point is registered, according to the at least one first neighboring point of the at least one first key point and the at least one second neighboring point of the candidate matching points.