Near real-time 3D reconstruction from InIm video stream

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Abstract

An efficient hardware architecture for the acceleration of an integrated 3D reconstruction method is presented, targeting demanding dynamic Integral Imaging applications. It exploits parallel processing and features minimized memory operations by implementing an extended-access memory scheme. Its reduced data throughput, thanks to optimized data utilization, makes it suitable for single FPGA device implementation. Results reveal that the hardware system outperforms the software method by an order of magnitude. Moreover, its processing rate surpasses the typical rate of a dynamic Integral Imaging acquisition system, thus making a significant step towards real-time 3D video reconstruction. © 2008 Springer-Verlag Berlin Heidelberg.

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Chaikalis, D., Passalis, G., Sgouros, N., Maroulis, D., & Theoharis, T. (2008). Near real-time 3D reconstruction from InIm video stream. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5112 LNCS, pp. 336–347). https://doi.org/10.1007/978-3-540-69812-8_33

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