Abstract: Systems and methods are provided for tracking a dribbling motion associated with a person engaged in either a training session for a sporting event or the live play of the sporting event. In sporting events, a dribbling motion can be associated with a repetitive movement or a short trajectory sequence between changes of direction of a ball, puck or other object used in the sporting event. The repetitive movement or short trajectory sequence used for dribbling can involve an up-and-down movement such as in basketball or a back-and-forth movement such as in soccer or hockey. The system can use one or more cameras to capture images of a person dribbling an object and at least one processor to analyze the images to determine and evaluate one or more characteristics associated with the dribbling motion.

Abstract: The present invention relates to image analysis. In particular, but not limited to, the invention relates to estimating 3D facial geometry. First, images are acquired 205 of an object, typically a face. Then a first three-dimensional (3D) geometry of the object is estimated 215 based upon at least the first image. A calibration image of the object and a calibration rig 120 is acquired 405. A scaling factor is determined 420 of the first 3D geometry based upon the calibration image, a known size of the calibration rig 120 and a predetermined spatial configuration. Finally, scaling the first 3D geometry using the scaling factor. The invention also concerns a system and software.

Abstract: A system uses a camera, a depth sensor, and a processing module to track a moving object in an athletic playing space over time. The processing module receives image frames from the camera and depth data from the depth sensor. The processing module analyzes the depth data to identify which of the pixels are in a plane of a sufficiently large size to indicate that the identified pixels correspond to a playing surface of the athletic playing space. The processing module then determines that gravity is in a direction normal to the identified plane. By finding the direction of gravity within the images, the algorithm for calculating performance parameters based on the trajectory of a moving object within the athletic playing space can be greatly simplified, thereby decreasing the processing burdens associated with calculating the performance parameters and providing more accurate trajectory estimations with fewer measured trajectory points.

Abstract: A system uses a camera, a depth sensor, and a processing module to track a moving object in an athletic playing space over time. The processing module receives image frames from the camera and depth data from the depth sensor. The processing module analyzes the depth data to identify which of the pixels are in a plane of a sufficiently large size to indicate that the identified pixels correspond to a playing surface of the athletic playing space. The processing module then determines that gravity is in a direction normal to the identified plane. By finding the direction of gravity within the images, the algorithm for calculating performance parameters based on the trajectory of a moving object within the athletic playing space can be greatly simplified, thereby decreasing the processing burdens associated with calculating the performance parameters and providing more accurate trajectory estimations with fewer measured trajectory points.

Abstract: A system for image manipulation enables an improved video conferencing experience. The system includes a camera; a display screen adjacent to the camera; a processor coupled to the camera and the display screen; and a memory coupled to the processor. Instructions executable by the processor enable receiving a source image from the camera and generating a synthetic image based upon the source image. The synthetic image corresponds to a view of a virtual camera located at the display screen.

Abstract: A method of generating an image enables animating an avatar on a device with limited processing capabilities. The method includes receiving, on a first computing device, a first image; sending, on a data interface of the first computing device, the first image to a server; receiving, on the data interface and from the server, shape data corresponding to an aspect of the first image; and generating, by a processor of the first computing device, a primary output image based at least upon the shape data and avatar data.

Abstract: The present invention relates to image analysis. In particular, but not limited to, the invention relates to estimating 3D facial geometry. First, images are acquired 205 of an object, typically a face. Then a first three-dimensional (3D) geometry of the object is estimated 215 based upon at least the first image. A calibration image of the object and a calibration rig 120 is acquired 405. A scaling factor is determined 420 of the first 3D geometry based upon the calibration image, a known size of the calibration rig 120 and a predetermined spatial configuration. Finally, scaling the first 3D geometry using the scaling factor. The invention also concerns a system and software.

Abstract: A method and system of expression transfer, and a video conferencing system to enable improved video communications. The method includes receiving, on a data interface, a source training image; generating, by a processor and using the source training image, a plurality of synthetic source expressions; generating, by the processor, a plurality of source-avatar mapping functions; receiving, on the data interface, an expression source image; and generating, by the processor, an expression transfer image based upon the expression source image and one or more of the plurality of source-avatar mapping functions. Each source-avatar mapping function maps a synthetic source expression to a corresponding expression of a plurality of avatar expressions. The plurality of mapping functions map each of the plurality of synthetic source expressions.

Abstract: A system for image manipulation enables an improved video conferencing experience. The system includes a camera; a display screen adjacent to the camera; a processor coupled to the camera and the display screen; and a memory coupled to the processor. Instructions executable by the processor enable receiving a source image from the camera and generating a synthetic image based upon the source image. The synthetic image corresponds to a view of a virtual camera located at the display screen.

Abstract: A method of generating an image enables animating an avatar on a device with limited processing capabilities. The method includes receiving, on a first computing device, a first image; sending, on a data interface of the first computing device, the first image to a server; receiving, on the data interface and from the server, shape data corresponding to an aspect of the first image; and generating, by a processor of the first computing device, a primary output image based at least upon the shape data and avatar data.

Abstract: A system for image manipulation enables an improved video conferencing experience. The system includes a camera; a display screen adjacent to the camera; a processor coupled to the camera and the display screen; and a memory coupled to the processor. Instructions executable by the processor enable receiving a source image from the camera and generating a synthetic image based upon the source image. The synthetic image corresponds to a view of a virtual camera located at the display screen.