Abstract
The depth map extraction from stereo video is a key technology of stereoscopic 3D video as well as view synthesis and 2D-3D video conversions. Sum of Absolute Differences (SAD) is a representative method to reconstruct disparity map. However, dense disparity map implementation requires heavy computations and extensive memory accesses. In this situation, the rapid advance of computer hardware and popularity of multimedia applications enable multi-core processors to become a dominant market trend in desk-top PCs as well as high end mobile devices; this movement allows many parallel programming technologies to be realized in users computing devices. Therefore, this paper proposes a parallel algorithm for SAD operation using a shared memory programming, OpenMP, which can provide the advantage to simplify managing and synchronization of program threads. The parallel implementation results show the 2.5 times of performance improvements on the processing speed compared with the serial implementation.
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Acknowledgments
This research is supported by Ministry of Culture, Sports and Tourism (MCST) and Korea Creative Content Agency (KOCCA) in the Culture Technology (CT) Research and Development Program 2013.
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Kim, C.G. (2013). Parallel SAD for Fast Dense Disparity Map Using a Shared Memory Programming. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_112
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DOI: https://doi.org/10.1007/978-94-007-6996-0_112
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