Automatic Golf Ball Trajectory Reconstruction and Visualization

Authors:
Tadej Zupančič;Aleš Jaklič
Affiliations:
Faculty of Computer and Information Science, Computer Vision Laboratory, University of Ljubljana, Ljubljana, Slovenia 1000;Faculty of Computer and Information Science, Computer Vision Laboratory, University of Ljubljana, Ljubljana, Slovenia 1000
Venue:
MIRAGE '09 Proceedings of the 4th International Conference on Computer Vision/Computer Graphics CollaborationTechniques
Year:
2009

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Abstract

The article presents the steps required to reconstruct a 3D trajectory of a golf ball flight, bounces and roll in short game. Two video cameras were used to capture the last parts of the trajectories including the bounces and roll. Each video sequence is processed and the ball is detected and tracked until is stops. Detected positions from both video sequences are then matched and 3D trajectory is obtained and presented as an X3D model.