Google Inc.

Leon G Palm

Hartwig Adam

Henry Allan Rowley

Sanjiv Kumar

Xiaohang Wang

Farhan Shamsi

Yakov Okshtein

Alessandro Bissacco

Marcus Quintana Mitchell

Debra Lin Repenning

Justin Max Scheiner

Andrew Moore Ziegler

Colby Dee Ranger

Daniel J Berlin

Jeff Huber

John D Westbrook

Doug Coker

Helen V Hunt

Ethan C Ambabo

Liviu Panait

Justin Scheiner

Systems and methods for generating an augmented reality interface for generics activities are disclosed. The systems and methods may be directed to creating an augmented reality display for an activity performed on a surface. Given an image of the activity, an activity solver library and associated configuration information for the activity may be selected. The surface of the activity from the image may be rectified, forming a rectified image, from which activity state information may be extracted using the configuration information. The activity state information may be provided to the activity solver library to generate solution information, and elements indicating the solution information may be rendered in a perspective of the original image. By providing the configuration information associated with an activity solver library, an augmented reality interface can be generated for an activity by capturing an image of the activity.

Systems and methods for activities solver development in augmented reality applications

Extracting financial card information with relaxed alignment comprises a method to receive an image of a card, determine one or more edge finder zones in locations of the image, and identify lines in the one or more edge finder zones. The method further identifies one or more quadrilaterals formed by intersections of extrapolations of the identified lines, determines an aspect ratio of the one or more quadrilateral, and compares the determined aspect ratios of the quadrilateral to an expected aspect ratio. The method then identifies a quadrilateral that matches the expected aspect ratio and performs an optical character recognition algorithm on the rectified model. A similar method is performed on multiple cards in an image. The results of the analysis of each of the cards are compared to improve accuracy of the data.

Payment card OCR with relaxed alignment

Capturing an image of an object from a captured perspective and creating a plurality of candidate object areas. Each candidate object area potentially enclosing the object captured in the image. From the plurality of candidate object areas, a candidate object area is selected as enclosing the object. A corrected image of the object is generated based on the selected candidate object area. The corrected image shows the object transformed to a corrected perspective. The corrected image is displayed.

Changing in real-time the perspective of objects captured in images

The present technology proposes techniques for extracting forms and other types of documents from images taken with a mobile client device. By calculating and making adjustments along a document's detected borders, an input image can be transformed such that the document within the image may be properly aligned and background clutter completely removed. The resulting text fields of the extracted document are thus upright, aligned and locatable at predictable points.

Extracting documents from a natural scene image

Aspects of the present disclosure propose techniques for reconstructing a document mosaic using video streams of the document. The streams provide information identifying a layout that relates sequential frames of a video to each other. Once the streams are captured using a mobile device, it is then possible to reconstruct a virtual view of the entire document as though it were taken with a single camera shot. The reconstructed virtual view of the document will be suitable as input to an optical character recognition engine, which can be used for translating the document.

Mosaicing documents for translation using video streams

A computer-implemented method includes receiving (i) a request for ratable content, and (ii) information specifying a geographic location of a computing device; accessing a data repository configured to store items of ratable content, with an item of ratable content associated with a geographic location; obtaining a plurality of items of ratable content related to the geographic location of the computing device; sending, from the obtained items of ratable content, an item of ratable content to the computing device; receiving a request for ratable content associated with a level of granularity relative that is higher than the level of granularity of the sent item of ratable content; sending, to the computing device, another item of ratable content, from the obtained items of ratable content, that is associated with a level of granularity that is higher than the level of granularity of the previously sent item of ratable content.

Retrieving ratable content based on a geographic location

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Santa Monica, CA, United States of America

Leon G Palm