A system identifies strong features in conjugate digital images and correlates the conjugate digital images for an identification of candidate tie points using only portions of the conjugate digital images that include the strong features.

There is disclosed a method of selecting a candidate video, the candidate video potentially being a near-duplicate of a given video, the given video having a given video duration. The method is executed at an electronic device, the electronic device having access to a video storage. The method comprises: determining a variance parameter, the variance parameter being determined based on the first video duration; receiving, from the video storage, a plurality of candidate videos; selecting a first candidate video from the plurality of candidate videos, the first candidate video having a first candidate video duration; comparing the first candidate video duration with the variance parameter; in response to the first candidate video duration being within the variance parameter, determining that the first candidate video is an actual candidate for being a near-duplicate of the given video.

Systems and methods for discriminating between malignant and benign pigmented skin lesions based on optical analysis using spatial distribution maps, morphological parameters, and additional diagnostic parameters derived from images of tissue lesions. A handheld optical transfer diagnosis device is disclosed capable of capturing a series of reflectance images of a skin lesion at a variety of angles of illumination and observation.

A machine vision-based method and system for aircraft docking guidance and aircraft type identification, comprising: S1, a monitoring scenario is divided into different information processing function areas; S2 a captured image is pre-processed; S3 the engine and the front wheel of an aircraft are identified in the image, so as to confirm that the aircraft has appeared in the image; S4 continuous tracking and real-time updating are performed on the image of the engine and the front wheel of the aircraft captured in step S3; S5 real-time positioning of the aircraft is implemented and the degree of deviation of the aircraft with respect to a guide line and the distance with respect to a stop line are accurately determined; S6 the degree of deviation of the aircraft with respect to the guide line and the distance with respect to the stop line of step S5 are outputted and displayed.

An embodiment of an image processor device includes technology to fetch a feature point data set from outside a local memory, locally store three or more fetched feature point data sets in the local memory, compute orientation information for each fetched feature point data set, compute first descriptor information based on the computed orientation information and a first locally stored feature point data set in parallel with a fetch and local store of a second feature point data set in the local memory, and compute second descriptor information based on the computed orientation information and the second locally stored feature point data set in parallel with the compute of the first descriptor information. Other embodiments are disclosed and claimed.

A crosswalk detection device according to an embodiment includes a processor, and the processor configured to perform image scanning processing for scanning aerial image data in unit of window, multiple line segment creation processing for creating a plurality of line segments corresponding to a distance based on a dimension of a crosswalk in any direction within a region scanned in the aerial image data, first calculation processing for calculating an absolute value of a first derivative value indicating a difference in brightness between both ends of the line segment and calculating an average value of the absolute value of the first derivative value for each angle, second calculation processing for calculating an absolute value of a second derivative value indicating a difference between a difference in brightness between a first end and an intermediate point of the line segment and a difference in brightness between the intermediate point and a second end of the line segment and calculating an average value of the absolute value of the second derivative value for each angle, and crosswalk determination processing for determining that coordinates of each of the line segments are coordinates of the crosswalk based on a calculation result.

Aspects of the disclosure relate to user authentication. A computing platform may receive a plurality of facial scans of an individual. The computing platform may train, using the plurality of facial scans, a convolutional neural network (CNN) to identify the individual, based on a first facial scan of the individual, using subclasses of the CNN. The computing platform may receive an authorization request including the first facial scan of the individual. The computing platform may input the first facial scan into the CNN, which may cause the CNN to identify the individual. Based on successful identification of the individual, the computing platform may grant requested access to the individual. The computing platform may update, using the first facial scan, the CNN.

Method of tracking a plurality of objects comprising: focusing an image of the objects on an imaging element using an optical system; capturing the image of the objects using an imaging element comprising a plurality of pixels; measuring at least one characteristic of the objects from the captured image using an image processor; wherein the field of view is set be the widest field of view for which the image processor is able to measure the at least one characteristic.

A method for recognizing characters in an image of a document having at least one alphanumeric field. The method includes the steps of enhancing an image contrast to highlight the characters in the image; detecting contours of objects in the image to create a mask that highlights the characters; segmenting the image using a tree with connected components and applying the mask thereto in order to extract the characters from the image; performing a character recognition on the extracted objects. A device for implementing the method.

An example system includes a stand configured to position a computing device proximate to a physical activity surface. The system further includes a video capture device, a detector, and an activity application. The video capture device is coupled for communication with the computing device and is adapted to capture a video stream that includes an activity scene of the physical activity surface and one or more interface objects physically interactable with by a user. The detector is executable to detect motion in the activity scene based on the processing and, responsive to detecting the motion, process the video stream to detect one or more interface objects included in the activity scene of the physical activity surface. The activity application is executable to present virtual information on a display of the computing device based on the one or more detected interface objects.