Abstract
The Phase Correlation(PC) method demonstrates high robustness and accuracy for measuring the very subtle disparities from stereo image pairs, where the baseline (or the base-to-height ratio) is unconventionally narrowed. However, this method remains inherently computationally expensive. In this paper, an adaptive PC based stereo matching method is proposed, aiming to achieve higher speed and better stereo quality compared to the existing methods, while also preserving the quality of PC. Improvement was achieved both algorithmically and architecturally, via carefully dividing the computing tasks among multiprocessors of the GPUs under a novel global-pixel correlation framework. Experimental results on our hardware settings show that the method achieves as high as 64× and 24× speedup compared to single threaded and multi-threaded implementation running on a multi-core CPU system, respectively.
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Chen, T., Liu, Y., Li, J., Wu, P. (2015). Fast Narrow-Baseline Stereo Matching Using CUDA Compatible GPUs. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_2
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DOI: https://doi.org/10.1007/978-3-662-47791-5_2
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