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International Journal of Nonlinear Analysis and Applications، جلد ۱۳، شماره ۱، صفحات ۲۷۳۱-۲۷۳۸
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عنوان انگلیسی Stereo vision development for high performance on stereo systems
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Stereo vision, Algorithms development, Stereo vision applications, stereo, and image processing technique
نویسندگان مقاله Ali N. Yousif |
University of Information Technology and Communications, Baghdad, Iraq

Hassan M. Ibrahim |
University of Information Technology and Communications, Baghdad, Iraq

Safaa J. Alwan |
University of Information Technology and Communications, Baghdad, Iraq

Mohammed Sh. Majid |
Department of Computer Engineering, Altinbas University, Istanbul, Turkey

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_5996_268b62db870e7b485912799c6095b797.pdf
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