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Stereo vision development for high performance on stereo systems | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 224، دوره 13، شماره 1، خرداد 2022، صفحه 2731-2738 اصل مقاله (408.17 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.5996 | ||
| نویسندگان | ||
| Ali N. Yousif* 1؛ Hassan M. Ibrahim1؛ Safaa J. Alwan1؛ Mohammed Sh. Majid2 | ||
| 1University of Information Technology and Communications, Baghdad, Iraq | ||
| 2Department of Computer Engineering, Altinbas University, Istanbul, Turkey | ||
| تاریخ دریافت: 02 مهر 1400، تاریخ بازنگری: 05 آبان 1400، تاریخ پذیرش: 18 آذر 1400 | ||
| چکیده | ||
| Stereo vision applications and systems are being grown common and widespread, especially with technological advancement. These systems and applications are widely applied in multiple fields and areas including autonomous robots, navigation, movie producing industry three-dimensional measurements, 3D reconstruction, object tracking, security system and identification systems, and augmented reality applications, and etc. Recently, much attention has been paid to new algorithms and practical systems in parallel with advanced technologies. High competition has been realized among a wide range of scholars, developers, and researchers toward developing high efficient systems and techniques. In this paper, we mainly present significant literature on some existing stereo vision algorithm techniques and systems in stereo vision and image processing areas. Where for many decades until recent, remarkable works and researches have been performed to develop methods with high accuracy and fast time processing. These systems and methods can be easily integrated with several applications as newly created solutions for various stereo vision problems such as low acracy, mismatching algorithms, correspondence problems, and more. The authors abroad have introduced numerous methods to solve the previous issues with different structures and specified targets. | ||
| کلیدواژهها | ||
| Stereo vision؛ Algorithms development؛ Stereo vision applications؛ stereo؛ and image processing technique | ||
| مراجع | ||
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[1] R.O.A.F.H. Amzah, A.N.H. Asni and A.B.U.H. Assan, Stereo matching algorithm based on illumination control to improve the accuracy, Image Anal. Stereol. 35(1) (2016) 39–52. [2] R. O. A. F. H. Amzah, A. N. H. Asni and A. B. U. H. Assan, Stereo matching algorithm based on illumination control to improve the accuracy, Image Anal. Stereol. 35(1) (2016) 39–52. [3] H. Choi and J. Jeong, Speckle noise reduction in ultrasound images using SRAD and guided filter, Int. Work. Adv. Image Technol. (2018) 1–4. [4] T. Durand-texte, E. Simonetto, S. Durand, M. Melon and M. Moulet, Vibration measurement using a pseudo-stereo system, target tracking and vision methods, Mech. Syst. Signal Process 118 (2019) 30–40. [5] R. A. Hamzah, H. Ibrahim, A. Hasni and A. Hassan, Stereo matching algorithm for 3d surface reconstruction based on triangulation principle, Inf. Technol. Inf. Syst. Electr. Eng. (ICITISEE), Int. Conf. IEEE (2016) 119–124. [6] S. He, Z. Tong, G. Ma, M. Fan, L. Lingzhou and S. Tang, Research on stereo vision matching algorithm for rescue robot, Robot. Autom. Sci. (ICRAS), Int. Conf. IEEE (2017) 35–38. [7] Q. Jiang, F. Shao, W. Gao and Z. Chen, Unified no-reference quality assessment of singly and multiply distorted stereoscopic images, IEEE Trans. Image Process 28(4) 2019 1866–1881. [8] W. Koodtalang, T. Sangsuwan and B. Noppakaow, A design of automated inspections of both shape and height simultaneously based on stereo vision and PLC, 18th Int. Conf. Control. Autom. Syst. Iccas (2018) 1290–1294. [9] D. Kumari and K. Kaur, A survey on stereo matching techniques for 3d vision in image processing, Int. J. Eng. Manuf. 4 (2016) 40–49. [10] T. Liu, X. Peng and L. Qiao, Window-based three-dimensional aggregation for stereo matching, IEEE Signal Process. Lett. 23 (7) (2016) 1008–1012. [11] L. Nalpantidis and A. Gasteratos, Depth Map and 3D Imaging Applications: Algorithms and Technologies, Depth Map 3D Imaging Appl. Algorithms Technol. IGI Glob., 2012. [12] B. Tippetts, D. Jye, L. Kirt and J. Archibald, Efficient stereo vision algorithms for resource-limited systems, J. Real-Time Image Process (2015) 163–174. [13] L. Tongtong, L. Changying, L. Yang, W. Tianhao, and Y. Dapeng, Optik Binocular stereo vision calibration based on alternate adjustment algorithm, Optik (Stuttg) 173 (2018) 13–20. [14] D. Scharstein and H. Hirschm, High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth, Ger. Conf. Pattern Recogn. pp. 31–42. Springer, Cham, 2014. [15] D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, Int. J. Comput. Vis. 47 (1-3) 2002 7–42. | ||
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