Efficient Hardware Architecture of a Stereo Vision System Based on AD-Census 


Vol. 42,  No. 6, pp. 1241-1248, Jun.  2017
10.7840/kics.2017.42.6.1241


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  Abstract

Since the AD-Census algorithm that combines the existing the AD (absolute difference) and the CT (census transform) algorithms computes the matching cost by using the pixel intensity difference and the relative ordering of the pixel intensity, it shows high matching performance. Also it utilizes the unfixed and variable-sized window, it can obtain high matching quality with relatively simple arithmetic. In this paper, we propose an efficient realtime stereo vision system with high accuracy using the AD-Census algorithm and the unfixed, variable-sized window. We improve the performance by using the data reuse and the parallel processing. The proposed architecture has been synthesized using DonbuHitek 110nm standard cell library. The proposed system shows 2.47% of error rate and can run up to 192MHz (59fps) operation frequency with 381K gates.

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  Cite this article

[IEEE Style]

E. Cho and T. Park, "Efficient Hardware Architecture of a Stereo Vision System Based on AD-Census," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 6, pp. 1241-1248, 2017. DOI: 10.7840/kics.2017.42.6.1241.

[ACM Style]

Eunbyeol Cho and Taegeun Park. 2017. Efficient Hardware Architecture of a Stereo Vision System Based on AD-Census. The Journal of Korean Institute of Communications and Information Sciences, 42, 6, (2017), 1241-1248. DOI: 10.7840/kics.2017.42.6.1241.

[KICS Style]

Eunbyeol Cho and Taegeun Park, "Efficient Hardware Architecture of a Stereo Vision System Based on AD-Census," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 6, pp. 1241-1248, 6. 2017. (https://doi.org/10.7840/kics.2017.42.6.1241)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880