A method of analyzing a semiconductor wafer includes obtaining a graphic data system (GDS) file corresponding to the semiconductor wafer, using GDS information from the GDS file to provide coordinates of a layout feature of the semiconductor wafer to an electron microscope, using the electron microscope to capture a raw image from the semiconductor wafer based on the coordinates of the layout feature, and performing a measurement operation on the raw image.

The present invention discloses a 3D web search engine for crawling, indexing, and searching through 3D models located on the World Wide Web. The user provides a search query in the form of a 3D model to reach for web pages that contain similar 3D models. The search query can be in the form of a 3D model, an image of a 3D model, or a drawing of a 3D model. The user has different options to filter the 3D models of the search results according to their needs or preference.

The purpose of the present invention is to provide a pattern matching device and computer program that carry out highly accurate positioning even if edge positions and numbers change. The present invention proposes a computer program and a pattern matching device wherein a plurality of edges included in first pattern data to be matched and a plurality of edges included in second pattern data to be matched with the first pattern data are associated, a plurality of different association combinations are prepared, the plurality of association combinations are evaluated using index values for the plurality of edges, and matching processing is carried out using the association combinations selected through the evaluation.

The present disclosure relates to signal decoding and icon (e.g., a logo, shape, icon, etc.) detection. In some implementations, a series of filters are applied to scanlines to determine whether an icon is present. Other aspects, combinations and implementations are described as well.

To improve a search accuracy in template matching based on a coarse-to-fine search method, a first pyramid is generated by hierarchizing a plurality of template images having different resolutions from each other in order of the resolution, a second pyramid is generated by hierarchizing a plurality of search target images having different resolutions from each other corresponding to the same resolutions as the template images in the first pyramid in order of the resolution, and a search process of searching for a feature image included in the template image of the first pyramid from the search target image in the second pyramid in a hierarchy of the same resolution. When the first pyramid is generated, the number of stages of the first pyramid is set such that a size of the feature image included in each of the template images is not smaller than a previously set threshold.

A neural network is configured to process image data captured by a vehicle-mounted camera. The neural network includes common processing layers (a trunk) and separate, parallelizable processing layers (branches). An object detection branch of the neural network is trained to detect objects that may be visible from the vehicle-mounted camera, such as cars, trucks, and traffic signs. A curve determination branch is trained to detect and parameterize salient curves, such as lane boundaries and road boundaries. The curve determination branch itself is configured with a trunk and branch architecture, having both common and separate processing layers. A first branch computes a likelihood that a curve is present in a given location of the image data and a second branch further localizes the curve within the given location if such a curve is present. Training of the different branches of the neural network may be decoupled.

Embodiments of an automated method of processing fingerprint images, identity information is extracted from prints typically classified as having “no identification value” because of sparse or missing minutiae by capturing ridge contour information. Bezier approximations of ridge curvature are used as Ridge Specific Markers. Control points arising from Bezier curves generate unique polygons that represent the actual curve in the fingerprint. The Bezier-based descriptors are then grouped together and compared to corresponding reference print Ridge Specific Marker data. The method makes it possible to fuse a plurality of individual latent print portions into a single descriptor of identity and use the resulting data for comparison and identification. Processing of poor quality reference prints according to the methods disclosed renders these prints useable for reference purposes.

Methods of automatically answering a phone call with a mobile terminal and associated mobile terminals are disclosed. A method includes: if there is an incoming phone call, obtaining every predetermined period of time a pressure value and coordinates of each contact point between an ear of a current user and a touch screen; obtaining an outer contour of the ear based on the pressure values and coordinates; selecting among the outer contour three parts of the ear to establish reference coordinate axes; obtaining relative coordinates of each contact point corresponding to each part in the outer contour with respect to the reference coordinate axes; comparing the relative coordinates with pre-stored sample coordinates that comprise coordinates of each part of an ear of an authorized user relative to reference coordinate axes; and if the relative coordinates match with the pre-stored sample coordinates, unlocking the mobile terminal and answering the phone call.

A method, system, apparatus, article of manufacture, and computer-readable storage medium provide the ability to merge multiple point cloud scans. A first raw scan file and a second raw scan file (each including multiple points) are imported. The scan files are segmented by extracting segments. Features are extracted from the segments. A set of candidate matching feature pairs are acquired by registering/matching/pairing features from one scan to features from another scan. The candidate pairs are refined based on an evaluation of all of the matching pairs. The candidate pairs are further refined by extracting sample points from the segments (within the matched pairs) and refining the pairs based on the points. The feature pairs are scored and then merged based on the scores.

A system and method for scoring trained probes for use in analyzing one or more candidate poses of a runtime image is provided. A set of probes with location and gradient direction based on a trained model are applied to one or more candidate poses based upon a runtime image. The applied probes each respectively include a discrete set of position offsets with respect to the gradient direction thereof. A match score is computed for each of the probes, which includes estimating a best match position for each of the probes respectively relative to one of the offsets thereof, and generating a set of individual probe scores for each of the probes, respectively at the estimated best match position.