Abstract
This paper describes a novel video mosaicing method based on extrinsic camera parameter estimation. The proposed method generates a mosaic image without perspective distortion, even if none of the input image plane is parallel to the target document. First, extrinsic camera parameters are estimated by tracking image features. Next, estimated extrinsic camera parameters are globally optimized to minimize the estimation error in the whole input sequence, utilizing re-appearing features. Finally, all the images are projected onto the mosaic image plane, and a super-resolved mosaic image is generated by applying an iterative back projection algorithm. Experiments have successfully demonstrated the feasibility of the proposed method.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
REFERENCES
R. Szeliski: “Image Mosaicing for Tele-Reality Applications,” Proc. IEEE Workshop on Applications of Computer Vision, pp. 230–236, 1994.
N. Chiba, H. Kano, M. Higashihara, M. Yasuda and M. Osumi: “Feature based Image Mosaicing,” Proc. IAPR Workshop on Machine Vision Applications, pp. 5–10, 1998.
S. Takeuchi, D. Shibuichi, N. Terashima and H. Tominaga: “Adaptive Resolution Image Acquisition Using Image Mosaicing Technique from Video Sequence,” Proc. IEEE Int. Conf. on Image Processing, vol. I, pp. 220–223, 2000.
D. Capel and A. Zisserman: “Automated Mosaicing with Super resolution Zoom,” Proc. IEEE Conf. on Computer Vision and Pattern Recognition, pp. 885–891, 1998.
C. Harris and M. Stephens: “A Combined Corner and Edge Detector,” Proc. Alvey Vision Conf. pp. 147–151, 1988.
M.A. Fischler and R.C. Bolles: “Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography,” Communications of the ACM, Vol. 24, No. 6, pp. 381–395, 1981. 6, pp. 381–395, 1981.
T. Sato, M. Kanbara, N. Yokoya and H. Takemura: “Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-baseline Stereo Using a Handheld Video Camera,” Int. Jour. of Computer Vision, vol. 47, no. 1–3, pp. 119–129, 2002.
M. Irani and S. Peleg: “Improving Resolution by Image Registration”, CVGIP: Graphical Models and Image Processing, Vol.53, pp.231–239, 1991.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Iketani, A., Sato, T., Ikeda, S., Kanbara, M., Nakajima, N., Yokoya, N. (2006). SUPER-RESOLVED VIDEO MOSAICING FOR DOCUMENTS BY EXTRINSIC CAMERA PARAMETER ESTIMATION. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_47
Download citation
DOI: https://doi.org/10.1007/1-4020-4179-9_47
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
Online ISBN: 978-1-4020-4179-2
eBook Packages: Computer ScienceComputer Science (R0)