University of Central Florida Research Foundation Inc

Microsoft Technology Licensing, LLC

Joseph J LaViola, Jr

Sumit Gulwani

Prince Gupta

Niels Da Vitoria Lobo

Eugene M Taranta, Ii

Mehran Maghoumi

Salman Shaukat Cheema

Corey Pittman

A method of generating synthetic data from time series data, such as from handwritten characters, words, sentences, mathematics, and sketches that are drawn with a stylus on an interactive display or with a finger on a touch device. This computationally efficient method is able to generate realistic variations of a given sample. In a handwriting or sketch recognition context, synthetic data is generated from real data in order to train recognizers and thus improve recognition accuracy when only a limited number of samples are available. Similarly, synthetic data can also be used to test and validate such recognizers. Also discussed is a dynamic time warping based approach for both segmented and continuous data that is designed to be a robust, go-to method for gesture recognition across a variety of modalities using only limited training samples.

Synthetic data generation of time series data

A sketch processing system is described herein for assisting a user in producing a drawing. In one implementation, the sketch processing system operates by: receiving ink strokes in response to creation of an original drawing; recognizing components and geometric constraints within the original drawing, to produce a recognized drawing; beautifying the original drawing by modifying at least one aspect of the recognized drawing in accordance with the recognized constraints, to produce a beautified drawing; and recognizing a recurring pattern in the beautified pattern (if any) and using that pattern to produce at least one added component to the beautified drawing.

Sketch beautification and completion of partial structured-drawings

Systems and method of compensating for tracking motion of an object are disclosed. One such method includes receiving a series of images captured by each of a plurality of image capture devices. The image capture devices are arranged in an orthogonal configuration of two opposing pairs. The method further includes computing a series of positions of the object and orientations of the object, by processing the images captured by each of the plurality of image capture devices.

Object tracking with opposing image capture devices

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Oviedo, FL, United States of America

Joseph J LaViola, Jr