A. Fusiello, V. Trucco, and E. , SYMMETRIC STEREO WITH MULTIPLE WINDOWING, International Journal of Pattern Recognition and Artificial Intelligence, vol.14, issue.08, pp.1053-1066, 2000.
DOI : 10.1016/0004-3702(95)00028-3

A. Aguilar-gonzález, M. Pérez-patricio, M. Arias-estrada, J. Camas-anzueto, . Hernández-deleón et al., Sánchez-Alegría A (2015) An fpga correlation-edge distance approach for disparity map, Proceedings of IEEE International Conference on Electronics, Communications and Computers Chulula, pp.21-28, 2015.

A. Alba, E. Arce-santana, R. Aguilar-ponce, and D. Campos-delgado, Phase-correlation guided area matching for realtime vision and video encoding, Journal of Real-Time Image Processing, vol.9, issue.2, pp.621-633, 2014.
DOI : 10.1109/83.821744

E. Asadi and C. Bottasso, Delayed fusion for real-time vision-aided inertial navigation. J Real-Time Image Proc DOI:10, pp.11554-11567, 1007.
DOI : 10.1007/s11554-013-0376-8

B. Bartczak, K. Koeser, F. Woelk, and R. Koch, Extraction of 3D freeform surfaces as visual landmarks for real-time tracking, Journal of Real-Time Image Processing, vol.15, issue.1, pp.81-101, 2007.
DOI : 10.1007/s11554-007-0042-0

A. Darabiha, W. Maclean, and J. Rose, Reconfigurable hardware implementation of a phase-correlation stereoalgorithm, Machine Vision and Applications, vol.5, issue.1, pp.116-132, 2006.
DOI : 10.1007/s00138-006-0018-2

J. Diaz, R. E. Pelayo, F. Ortigosa, E. Mota, and S. , FPGA-based real-time optical-flow system, IEEE Transactions on Circuits and Systems for Video Technology, vol.16, issue.2, pp.274-279, 2006.
DOI : 10.1109/TCSVT.2005.861947

. Feiyangcheng, . Hongzhang, and M. Dingyuan, Stereo matching by usingthe global edge constraint, Neurocomputing, vol.131, issue.11, pp.217-226, 2013.

C. Georgoulas and I. Andreadis, 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 and I. Andreadis, 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, L. Kotoulas, G. 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. Gong and Y. Yang, Near real-time reliable stereo matching using programmable graphics hardware. Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol.1, pp.924-931, 2005.

S. Granados, F. Barranco, S. Mota, J. Díaz, and R. E. , On-chip semidense representation map for dense visual features driven by attention processes, Journal of Real-Time Image Processing, vol.9, issue.1, pp.171-185, 2014.
DOI : 10.1006/rtim.1996.0035

G. Guerra-filho, An optimal time???space algorithm for dense stereo matching, Journal of Real-Time Image Processing, vol.75, issue.1, pp.69-86, 2012.
DOI : 10.1007/s11263-006-0018-8

H. Hirschmuller, Improvements in real-time correlationbased stereo vision, Proceedings of IEEE workshop on Stereo and Multi-Baseline Vision, pp.141-148, 2001.
DOI : 10.1109/smbv.2001.988772

URL : http://www.cse.dmu.ac.uk/~hhm/res/cvpr01.pdf

I. N. Cuk, B. S. , and S. A. , Fpga design and implementation of a real-time stereo vision system. Circuits and Systems for Video Technology, IEEE Transactions on, vol.20, pp.1-5, 2010.

M. Jin and T. Maruyama, A fast and high quality stereo matching algorithm on FPGA, 22nd International Conference on Field Programmable Logic and Applications (FPL), pp.507-5010, 2012.
DOI : 10.1109/FPL.2012.6339266

S. Jin, J. Cho, X. Pham, K. Lee, S. 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, 2010.

S. Jin, J. Cho, X. Pham, K. Lee, S. Park et al., Fpga design and implementation of a real-time stereo vision system, Innovations in Intelligent Systems and Applications (INISTA), International Symposium on, pp.15-26, 2012.

H. Jung, H. Park, I. Park, K. Lee, and S. Lee, Stereo reconstruction using high-order likelihoods, Computer Vision and Image Understanding, vol.125, issue.21, pp.223-236, 2014.
DOI : 10.1016/j.cviu.2014.04.009

T. Kanade and M. Okutomi, A stereo matching algorithm with an adaptive window: Theory and experiment, Proceedings of the 1991 IEEE International Conference on Robotics and Automation, pp.920-932, 1991.
DOI : 10.1109/robot.1991.131738

T. Kanade, A. Yoshida, K. Oda, H. Kano, and M. Tanaka, A stereo machine for videorate dense depth mapping and its new applications, IEEE Computer Vision & Pattern Recognition Conference on, vol.15, pp.196-202, 1996.
DOI : 10.1109/cvpr.1996.517074

URL : http://www.ri.cmu.edu/pub_files/pub2/kanade_takeo_1996_2/kanade_takeo_1996_2.pdf

S. Lee, Y. J. Kim, and J. , Real-Time Stereo Vision on a Reconfigurable System, Lecture Notes in Computer Science: Embedded Computer Systems, vol.3553, pp.299-307, 2005.
DOI : 10.1007/11512622_32

J. Lotti and G. Giraudon, Correlation algorithm with adaptive window for aerial image in stereo vision, Proceedings of the Image and Signal Processing for Remote Sensing, EUROPTO'94, pp.701-703, 1994.

S. Madeo, R. Pelliccia, C. Salvadori, J. Del-rincon, and J. Nebel, An optimized stereo vision implementation for embedded systems: application to RGB and infra-red images, Journal of Real-Time Image Processing, vol.53, issue.6, pp.10-1007, 2014.
DOI : 10.1007/978-3-540-89639-5_21

M. Humenberger, C. Zinner, and M. Vincze, A fast stereo matching algorithm suitable for embedded real-time systems, Computer Vision and Image Understanding, vol.114, issue.11, pp.1180-1202, 2010.
DOI : 10.1016/j.cviu.2010.03.012

D. Masrani and W. Maclean, A real-time large disparity range stereo-system using fpgas, IEEE International Conference on Computer Vision Systems, pp.13-19, 2006.
DOI : 10.1007/11612704_5

D. Min, J. Lu, and M. Do, Joint histogram-based cost aggregation for stereo matching, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.10, pp.2539-2545, 2013.

C. Murphy, D. Lindquist, A. Cecil, S. Leavitt, and M. Chang, Low-Cost Stereo Vision on an FPGA, 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2007), pp.333-334, 2007.
DOI : 10.1109/FCCM.2007.44

H. Niitsuma and T. Maruyama, High Speed Computation of the Optical Flow, Lecture Notes in Computer Science: Image Analysis and Processing, vol.3617, pp.287-295, 2005.
DOI : 10.1007/11553595_35

C. Roh, T. Ha, S. Kim, and J. Kim, Symmetrical dense disparity estimation: algorithms and fpgas implementation, IEEE International Symposium on Consumer Electronics, pp.452-456, 2004.

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

S. Perri, P. Cocorullo, and G. , 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

L. 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

C. Ttofis, S. Hadjitheophanous, A. 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

O. Veksler, Stereo matching by compact windows via minimum ratio cycle, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, p.1654, 2002.
DOI : 10.1109/ICCV.2001.937563

URL : http://www.neci.nj.nec.com/homepages/olga/iccv01.ps

J. Woodfill and B. Herzen, Real-time stereo vision on the PARTS reconfigurable computer, Proceedings. The 5th Annual IEEE Symposium on Field-Programmable Custom Computing Machines Cat. No.97TB100186), pp.201-210, 1997.
DOI : 10.1109/FPGA.1997.624620

URL : http://www.fpga.com/papers/stereovis.pdf

Q. Yang, A non-local cost aggregation method for stereo matching, Proceedings of the Conference on Computer Vision and Pattern Recognition, CVPR'2012, pp.1-8, 2012.

R. Zabih and J. Woodfill, Non-parametric local transforms for computing visual correspondence, Proceedings of the Third European Conference on Computer Vision, ECCV'94, pp.151-158, 1994.
DOI : 10.1007/BFb0028345

URL : http://www.cs.cornell.edu/~rdz/Papers/ZW-ECCV94.pdf

Y. Zhang and C. Kambhamettu, Stereo Matching with Segmentation-Based Cooperation, Proceedings of the Seventh European Conference on Computer Vision, ECCV'94, pp.556-571, 2002.
DOI : 10.1007/3-540-47967-8_37