Virtual studio is a popular technology for TV programs, that makes possible to synchronize computer graphics (CG) to
realshot image in camera motion. Normally, the geometrical matching accuracy between CG and realshot image is not
expected so much on real-time system, we sometimes compromise on directions, not to come out the problem. So we
developed the hybrid camera calibration method and CG generating system to achieve the accurate geometrical matching
of CG and realshot on virtual studio. Our calibration method is intended for the camera system on platform and tripod
with rotary encoder, that can measure pan/tilt angles. To solve the camera model and initial pose, we enhanced the
bundle adjustment algorithm to fit the camera model, using pan/tilt data as known parameters, and optimizing all other
parameters invariant against pan/tilt value. This initialization yields high accurate camera position and orientation
consistent with any pan/tilt values. Also we created CG generator implemented the lens distortion function with GPU
programming. By applying the lens distortion parameters obtained by camera calibration process, we could get fair
compositing results.
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