BallCam! : Dynamic View Synthesis from Spinning Cameras
We place a small wireless camera inside an American football to capture the ball's point-of-view during flight to augment a spectator's experience of the game of football. To this end, we propose a robust video synthesis algorithm that leverages the unique constraints of fast spinning cameras to obtain a stabilized bird's eye point-of-view video clip. Our algorithm uses a coarse-to-fine image homography computation technique to progressively register images. We then optimize an energy function defined over pixel-wise color similarity and distance to image borders, to find optimal image seams to create panoramic composite images. Our results show that we can generate realistic videos from a camera spinning at speeds of up to 600 RPM.
Koida Horita, Hideki Sasaki, Hideki Koike, Kris M. Kitani: Experiencing the ball's POV for ballistic sports, Proc. of the 4th Augmented Human International Conference (AH'13), pp.128-133, 2013 (PDF).
Kris M. Kitani, Kodai Horita, Hideki Koike: BallCam!: Dynamic View Synthesis from Spinning Cameras, ACM Symposium on User Interface Software and Technology (UIST 2012), poster paper, 2012 (PDF).
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