A. Aguilar-gonzález, M. Pérez-patricio, M. Arias-estrada, J. L. Camas-anzueto, and H. R. Hernández-de-león, Sánchez-Alegría A.: An FPGA correlation-edge distance approach for disparity map, Proceedings of IEEE International Conference on Electronics, Communications and Computers (CONIELECOMP15), pp.21-28, 2015.

A. Alba, E. Arce-santana, R. M. Aguilar-ponce, and D. U. Campos-delgado, Phase-correlation guided area matching for realtime vision and video encoding, Journal of Real-Time Image Processing, vol.9, issue.2, pp.621-63, 2012.
DOI : 10.1109/83.821744

M. Bleyer, C. Rother, P. Kohli, D. Scharstein, and S. Sinha, Object stereo — Joint stereo matching and object segmentation, CVPR 2011, pp.3081-3088, 2011.
DOI : 10.1109/CVPR.2011.5995581

C. Georgoulas, A real-time fuzzy hardware structure for disparity map computation, Journal of Real-Time Image Processing, vol.47, issue.1???3, pp.257-273, 2011.
DOI : 10.1023/A:1014506211316

C. Georgoulas, FPGA based disparity map computation with vergence control, Microprocessors and Microsystems, vol.34, issue.7-8, pp.259-273, 2010.
DOI : 10.1016/j.micpro.2010.05.003

C. Georgoulas, L. Kotoulas, G. C. Sirakoulis, I. Andreadis, and A. Gasteratos, Real-time disparity map computation module, Microprocessors and Microsystems, vol.32, issue.3, pp.159-170, 2008.
DOI : 10.1016/j.micpro.2007.10.002

M. Gerrits and P. Bekaert, Local Stereo Matching with Segmentation-based Outlier Rejection, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06), pp.66-72, 2006.
DOI : 10.1109/CRV.2006.49

R. W. Hamming, Error Detecting and Error Correcting Codes, Bell System Technical Journal, vol.29, issue.2, pp.147-160, 1950.
DOI : 10.1002/j.1538-7305.1950.tb00463.x

T. Hu, B. Qi, T. Wu, X. Xu, and H. He, Stereo matching using weighted dynamic programming on a single-direction four-connected tree, Computer Vision and Image Understanding, vol.116, issue.8, pp.908-921, 2012.
DOI : 10.1016/j.cviu.2012.04.003

J. A. Kalomiros and J. Lygouras, Design and hardware implementation of a stereo-matching system based on dynamic programming, Microprocessors and Microsystems, vol.35, issue.5, pp.496-509, 2011.
DOI : 10.1016/j.micpro.2011.04.005

S. Jin, J. Cho, X. D. Pham, K. M. Lee, S. K. Park et al., FPGA design and implementation of a real-time stereo vision system, IEEE Transactions on Circuits and Systems for Video Technology, vol.20, pp.15-26, 2009.

E. Parrilla, J. R. Torregrosa, J. Riera, and J. L. Hueso, Fuzzy control for obstacle detection in stereo video sequences, Mathematical and Computer Modelling, vol.54, issue.7-8, pp.1813-1817, 2011.
DOI : 10.1016/j.mcm.2011.01.016
URL : https://doi.org/10.1016/j.mcm.2011.01.016

M. Pérez-patricio, A. Aguilar-gonzález, M. Arias-estrada, and J. L. Camas-anzueto, A Fuzzy Logic Approach for Stereo Matching Suited for Real-Time Processing, International Journal of Computer Applications, vol.113, issue.2, pp.1-8, 2015.
DOI : 10.5120/19795-1572

M. Pérez-patricio and A. Aguilar-gonzález, FPGA implementation of an efficient similarity-based adaptive window algorithm for real-time stereo matching, Journal of Real-Time Image Processing, vol.5, issue.12, 2015.
DOI : 10.1007/3-540-47967-8_37

S. Perri, P. Corsonello, and G. Cocorullo, Adaptive Census Transform: A novel hardware-oriented stereovision algorithm, Computer Vision and Image Understanding, vol.117, issue.1, pp.29-41, 2013.
DOI : 10.1016/j.cviu.2012.10.003

X. Rong, J. Huanyu, and Y. Yibin, Recognition of clustered tomatoes based on binocular stereo vision, Computers and Electronics in Agriculture, vol.106, pp.75-90, 2014.

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Proceedings IEEE Workshop on Stereo and Multi-Baseline Vision (SMBV 2001), pp.7-42, 2002.
DOI : 10.1109/SMBV.2001.988771
URL : http://www.cs.ucsb.edu/~mturk/595/papers/ScharsteinSzeliski.pdf

K. Schauwecker, R. Klette, and A. Zell, A new feature detector and stereo matching method for accurate high-performance sparse stereo matching, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5171-5176, 2012.
DOI : 10.1109/IROS.2012.6385492
URL : http://www.ra.cs.uni-tuebingen.de/publikationen/2012/schauwecker_iros2012.pdf

J. Serot, F. Berry, and S. Ahmed, FPGA: A Language for Implementing Stream- Processing Applications on FPGAs, Embedded Systems Design with FPGAs, FPGA: A La Embedded Systems Design with FPGAs, pp.201-224, 2012.

L. D. Stefano, M. Marchionni, and S. Mattoccia, A fast area-based stereo matching algorithm, Image and Vision Computing, vol.22, issue.12, pp.983-1005, 2004.
DOI : 10.1016/j.imavis.2004.03.009

H. Trinh, Efficient Stereo Algorithm using Multiscale Belief Propagation on Segmented Images, Procedings of the British Machine Vision Conference 2008, pp.33-34, 2008.
DOI : 10.5244/C.22.33
URL : http://www.comp.leeds.ac.uk/bmvc2008/proceedings/papers/125.pdf

C. Ttofis, S. Hadjitheophanous, A. S. Georghiades, and T. Theocharides, Edge-Directed Hardware Architecture for Real-Time Disparity Map Computation, IEEE Transactions on Computers, vol.62, issue.4, pp.690-704, 2013.
DOI : 10.1109/TC.2012.32

L. Wang, Z. Liu, and Z. Zhang, Feature Based Stereo Matching Using Two-Step Expansion, Mathematical Problems in Engineering, vol.15, issue.1, pp.1-14, 2014.
DOI : 10.1007/s11263-005-3848-x
URL : http://doi.org/10.1155/2014/452803