Video composition based on robust estimation of camera parameters from image sequence

In this paper, we propose a video composition method based on a robust estimation of camera parameters from image sequence. The proposed method is based on an investigation that any camera operation containing a change of scale and a pure 3D rotation can be represented by a 2D geometric transformation. The transformation can explain all the video composition procedure consisting of locating, synchronizing, and operating images. The parameters in the image transformation are estimated from image sequence. The estimation scheme consists of first establishing correspondence and then estimating the parameters by fitting the correspondence data to the transformation model. A robust algorithm based on rejection of outliers is proposed for reliable parameter estimation. Experimental results support the validity of the estimation method