Title :
Recursive total least squares algorithm for 3-D camera motion estimation from image sequences
Author :
Kim, Hyung-Myung ; Kim, Eung Tae
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejou, South Korea
Abstract :
We present the estimation method of global motion parameters corresponding to 3-D camera motion in the non-stationary noisy situation. The total least squares problem is first formulated to represent the global motion parameters estimation procedure from the noise-corrupted image coordinates. Then, a recursive total least squares (RTLS) algorithm is proposed to estimate 3D camera motion parameters in image sequences. The algorithm is proposed based on a five camera parameter model: zoom, focal length, pan, tilt, and swing. In the experimental results, the efficiency of the proposed RTLS algorithm is shown by comparing its MSE and PSNR with those of the conventional linear algorithms
Keywords :
image sequences; least squares approximations; mean square error methods; motion estimation; recursive estimation; 3D camera motion estimation; MSE; PSNR; RTLS algorithm; efficiency; experimental results; focal length; global motion parameters estimation; image sequences; linear algorithms; noise-corrupted image coordinates; nonstationary noisy situation; pan; recursive total least squares algorithm; swing; tilt; zoom; Cameras; Computer vision; Image sequences; Least squares approximation; Least squares methods; Measurement errors; Motion estimation; PSNR; Parameter estimation; Recursive estimation;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723668
