FPGA based Relative Distance Measurement using Stereo Vision Technology
In this paper, we propose a novel concept of relative
distance measurement using Stereo Vision Technology and discuss
its implementation on a FPGA based real-time image processor. We
capture two images using two CCD cameras and compare them.
Disparity is calculated for each pixel using a real time dense disparity
calculation algorithm. This algorithm is based on the concept of
indexed histogram for matching. Disparity being inversely
proportional to distance (Proved Later), we can thus get the relative
distances of objects in front of the camera. The output is displayed on
a TV screen in the form of a depth image (optionally using pseudo
colors). This system works in real time on a full PAL frame rate (720
x 576 active pixels @ 25 fps).
[1] S. Birchfield, C. Tomasi, "Depth Discontinuties by Pixel-to- Pixel
Stereo", International Journal of Computer Vision, Vol. 35(3), pp. 269-
293, (1999).
[2] F. Tombari, S. Mattoccia, L. Stefano, E. Addimanda, "Near real-time
stereo based on effective cost aggregation", 19th International
Conference on Pattern Recognition, pp. 1-4, (2008).
[3] L. Wang, M. Liao, G. Minglun, Y. Ruigang, "High quality real-time
Stereo using Adaptive Cost aggregation and Dynamic Programming",
Proceedings of the Third International Symposium on 3D Data
Processing, Visualization, and Transmission, pp. 798-805, (2006).
[4] Q. Yang, C. Engels, A. Akbarzadeh, "Near Real-time Stereo for Weakly-
Textured Scenes", British Machine Vision Conference, (2008).
[1] S. Birchfield, C. Tomasi, "Depth Discontinuties by Pixel-to- Pixel
Stereo", International Journal of Computer Vision, Vol. 35(3), pp. 269-
293, (1999).
[2] F. Tombari, S. Mattoccia, L. Stefano, E. Addimanda, "Near real-time
stereo based on effective cost aggregation", 19th International
Conference on Pattern Recognition, pp. 1-4, (2008).
[3] L. Wang, M. Liao, G. Minglun, Y. Ruigang, "High quality real-time
Stereo using Adaptive Cost aggregation and Dynamic Programming",
Proceedings of the Third International Symposium on 3D Data
Processing, Visualization, and Transmission, pp. 798-805, (2006).
[4] Q. Yang, C. Engels, A. Akbarzadeh, "Near Real-time Stereo for Weakly-
Textured Scenes", British Machine Vision Conference, (2008).
@article{"International Journal of Information, Control and Computer Sciences:50699", author = "Manasi Pathade and Prachi Kadam and Renuka Kulkarni and Tejas Teredesai", title = "FPGA based Relative Distance Measurement using Stereo Vision Technology", abstract = "In this paper, we propose a novel concept of relative
distance measurement using Stereo Vision Technology and discuss
its implementation on a FPGA based real-time image processor. We
capture two images using two CCD cameras and compare them.
Disparity is calculated for each pixel using a real time dense disparity
calculation algorithm. This algorithm is based on the concept of
indexed histogram for matching. Disparity being inversely
proportional to distance (Proved Later), we can thus get the relative
distances of objects in front of the camera. The output is displayed on
a TV screen in the form of a depth image (optionally using pseudo
colors). This system works in real time on a full PAL frame rate (720
x 576 active pixels @ 25 fps).", keywords = "Stereo Vision, Relative Distance Measurement,Indexed Histogram, Real time FPGA Image Processor", volume = "5", number = "7", pages = "732-4", }