Motion blur often affects the ball image in photographs and video frames in many sports such as tennis, table tennis, squash and golf. In this work we operate on a single calibrated image depicting a moving ball over a known background, and show that motion blurred ball images, usually unwelcome in computer vision, bear more information than a sharp image. We provide techniques for extracting such infor- mation ranging from low-level image processing to 3D reconstruction, and present a number of experiments and possible applications, such as ball localization with speed and direction measurement from a single image, and ball trajectory recon- struction from a single long-exposure photograph.

Recovering Ball Motion from a Single Motion-Blurred Image

CAGLIOTI, VINCENZO;GIUSTI, ALESSANDRO
2009-01-01

Abstract

Motion blur often affects the ball image in photographs and video frames in many sports such as tennis, table tennis, squash and golf. In this work we operate on a single calibrated image depicting a moving ball over a known background, and show that motion blurred ball images, usually unwelcome in computer vision, bear more information than a sharp image. We provide techniques for extracting such infor- mation ranging from low-level image processing to 3D reconstruction, and present a number of experiments and possible applications, such as ball localization with speed and direction measurement from a single image, and ball trajectory recon- struction from a single long-exposure photograph.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/516907
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