Abbyy Production LLC

Abbyy Development Inc.

Abyy Production LLC

Stepan Yurievich Lobastov

Ivan Germanovich Zagaynov

Vasily Vasilyevich Loginov

Ivan Khintsitskiy

Vasily Shahov

Juri Katkov

Olga Titova

Aleksey Matyushin

Konstantin Zuyev

A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application.

Zero-footprint image capture by mobile device

Systems and methods for detecting document contours in a digital image. An example method may involve: receiving an image comprising one or more documents and detecting a set of lines in the image; identifying a plurality of intersection points corresponding to the set of lines; determining a vanishing point based on the plurality of intersection points; generating a candidate polygon based on the set of lines; evaluating the candidate polygon based on a parameter associated with the vanishing point; and indicating the candidate polygon represents a contour of one of the one or more documents.

Automated detection and trimming of an ambiguous contour of a document in an image

The current document is directed to automated methods and systems, controlled by various constraints and parameters, that identify document sub-images within digital images. Certain of the parameters constrain contour identification and document-subimage-hypothesis generation. The currently described methods and systems identify contours within the digital image, partition the identified contours into four contour sets corresponding to four different regions of the original digital image, construct hypotheses based on these contours for the edges or boundaries of a digital sub-image, and evaluate the hypotheses in order to select a most highly scored hypotheses as a representation of the borders of a digital sub-image within the original received digital image.

Method and subsystem for identifying document subimages within digital images

The current document is directed to automated methods and systems, controlled by various constraints and parameters, that identify contours in digital images, including curved contours. Certain of these parameters constrain contour identification to those contours in which the local curvature of a contour does not exceed a threshold local curvature and to those contours orthogonal to intensity gradients of at least threshold magnitudes. The currently described methods and systems identify seed points within a digital image, extend line segments from the seed points as an initial contour coincident with the seed point, and then iteratively extend the initial contour by adding line segments to one or both ends of the contour. The identified contours are selectively combined and filtered in order to identify a set of relevant contours for use in subsequent image-processing tasks.

Method and system for identifying extended contours within digital images

Systems and methods for computed tomography image processing and data analysis. An example image may comprise: receiving a plurality of input images of a scanned body; processing, by a first convolutional neural network, the plurality of input images to produce one or more pseudo radioisotope emission (pseudo-RE) images of the scanned body; and processing, by a second convolutional neural network, the plurality of pseudo-RE images to classify one or more input images of the plurality of input images with respect to a specified medical diagnosis with respect to the scanned body.

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Kirovskaya oblast, Russia

Stepan Yurievich Lobastov