Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.