REAL-TIME FPGA-BASED IMAGE RECTIFICATION SYSTEM
Cristian Vancea, Sergiu Nedevschi, Mihai Negru, Stefan Mathe
2006
Abstract
Image rectification is the process of transforming stereo-images as if they were captured using a canonical stereo-system. Computationally intensive tasks, like dense stereo matching, are greatly simplified if performed on rectified images. We developed an efficient pipeline hardware machine which performs real-time image rectification. The design was implemented using VHDL, thus allowing portability on many hardware platforms. The architecture was highly optimized, both in terms of time and resources needed. To increase its flexibility, the design was described based on generics (configuration parameters), which allow reconfiguring different characteristics and behaviour, such as: image size, number of precision bits, memory cache complexity. We also analyze the performance of the implemented solution on a VirtexE600 FPGA device.
References
- Fusiello, A., Trucco, E. & Verri, A. (1997). Rectification with unconstrained stereo geometry. In Proceedings of the British Machine Vision Conference. University of Essex, BMVA Press. pp. 400-409.
- Woodfill, J., Herzen B. (1997). Real-time stereo vision on the parts reconfigurable computer. In IEEE Workshop on FPGAs for Custom Computing Machines, pp. 242- 252.
- Fusiello, A., Trucco, E. & Verri, A. (1998a). Rectification with unconstrained stereo geometry. Research Memorandum RM/98/12. Edinburgh, Department of Computing and Electrical Engineering, Heriot-Watt University.
- Fusiello, A. (1998b). Tutorial on rectification of stereo images. In R. Fisher, editor, CVonline: On-Line Compendium of Computer Vision [Online]. Available: http://www.dai.ed.ac.uk/CVonline/
- Fusiello, A., Trucco, E. & Verri, A. (2000). A compact algorithm for rectification of stereo pairs. Machine Vision and Applications, 12(1):16-22.
- Woodfill, J.I., Gordon, G., Buck R. (2004). Tyzx DeepSea High Speed Stereo Vision System. In Proceedings of the IEEE Computer Society Workshop on Real Time 3- D Sensors and Their Use, Conference on Computer Vision and Pattern Recognition. Washington D.C.
- Jia, Y., Zhang, X., Li, M. & An, L. (2004). A Miniature Stereo Vision Machine (MSVM-III) for Dense Disparity Mapping. In Proceedings of the 17th International Conference on Pattern Recognition. Cambridge. Volume 1, pp. 728-731.
Paper Citation
in Harvard Style
Vancea C., Nedevschi S., Negru M. and Mathe S. (2006). REAL-TIME FPGA-BASED IMAGE RECTIFICATION SYSTEM . In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 972-8865-40-6, pages 93-100. DOI: 10.5220/0001369500930100
in Bibtex Style
@conference{visapp06,
author={Cristian Vancea and Sergiu Nedevschi and Mihai Negru and Stefan Mathe},
title={REAL-TIME FPGA-BASED IMAGE RECTIFICATION SYSTEM},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2006},
pages={93-100},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001369500930100},
isbn={972-8865-40-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - REAL-TIME FPGA-BASED IMAGE RECTIFICATION SYSTEM
SN - 972-8865-40-6
AU - Vancea C.
AU - Nedevschi S.
AU - Negru M.
AU - Mathe S.
PY - 2006
SP - 93
EP - 100
DO - 10.5220/0001369500930100