Real-time Disparity Acquisition Algorithm from Stereoscopic Image and its Hardware Implementation 


Vol. 34,  No. 11, pp. 1029-1039, Nov.  2009


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  Abstract

In this paper, the existing disparity aquisition algorithms were analyzed, on the bases of which a disparity generation technique that is superior in accuracy to the generation time was proposed. Basically it uses a pixel-by-pixel motion estimation technique. It has a merit of possibility of a high-speed operation. But the motion estimation technique has a disadvantage of lower accuracy because it depends on the similarity of the matching window regardless of the distribution characteristics of the texture in an image. Therefore, an enhanced technique to increase the accuracy of the disparity is required. This paper introduced a variable-sized window matching technique for this requirement. By the proposed technique, high accuracies could be obtained at the homogeneous regions and the object edges. A hardware to generate disparity image was designed, which was optimized to the processing speed so that a high throughput is possible. The hardware was designed by Verilog-HDL and synthesized using Hynix 0.35㎛ CMOS cell library. The designed hardware was operated stably at 120㎒ using Cadence NC-VerilogTM and could process 15 frames per second at this clock frequency.

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  Cite this article

[IEEE Style]

W. Shin, H. Choi, Y. Seo, D. Kim, "Real-time Disparity Acquisition Algorithm from Stereoscopic Image and its Hardware Implementation," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 11, pp. 1029-1039, 2009. DOI: .

[ACM Style]

Wan-Soo Shin, Hyun-Jun Choi, Young-Ho Seo, and Dong-Wook Kim. 2009. Real-time Disparity Acquisition Algorithm from Stereoscopic Image and its Hardware Implementation. The Journal of Korean Institute of Communications and Information Sciences, 34, 11, (2009), 1029-1039. DOI: .

[KICS Style]

Wan-Soo Shin, Hyun-Jun Choi, Young-Ho Seo, Dong-Wook Kim, "Real-time Disparity Acquisition Algorithm from Stereoscopic Image and its Hardware Implementation," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 11, pp. 1029-1039, 11. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880