Ability of Solving Augmented Reality Problems with Fuzzy Logic Algorithms

机译：用模糊逻辑算法解决增强现实问题的能力

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Augmented reality has long been part of both the industrial sphere and ordinary life. However, there are still many difficulties associated with the correct operation of this modeling area, the problems of hardware implementation being closely related to the problems of the software part. The implementation of the pattern recognition algorithm plays a huge role here, the solution to the problems of which can be the introduction of fuzzy logic methods.

机译：增强现实长期以来一直是产业领域和普通生活的一部分。然而，与该建模区域的正确操作相关的困难仍然存在许多困难，硬件实现的问题与软件部分的问题密切相关。模式识别算法的实现在此处发挥着巨大的作用，解决问题的解决方案可以是模糊逻辑方法的引入。

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《International Conference on Soft Computing and Measurements》|2021年|147-149|共3页
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Liudmila P. Kozlova; Olga A. Kozlova;
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Fuzzy logic; Software algorithms; Software; Hardware; Pattern recognition; Augmented reality;

机译：模糊逻辑;软件算法;软件;硬件;模式识别;增强现实;

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机译：增强现实技术的评价研究结果解决宁宁工程问题的求解：增强现实技术解决宁南工程问题的增强现实技术
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机译：R_0-typd模糊逻辑度量空间和一种求解模糊模态的算法
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机译：模糊逻辑，遗传算法和梯度遗传算法优化方法的比较研究，用于解决单位承诺问题的优化方法
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机译：增强现实中基于模糊逻辑的云建筑信息建模渲染优化系统
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机译：在增强现实分布式环境中进行负载平衡的模糊逻辑方法。
6. Autonomous Road Roundabout Detection and Navigation System for Smart Vehicles and Cities Using Laser Simulator–Fuzzy Logic Algorithms and Sensor Fusion [O] . Mohammed A. H. Ali, Musa Mailah, Waheb A. Jabbar, 2020

机译：使用激光模拟器 - 模糊逻辑算法和传感器融合的智能车辆和城市的自主道路轨道检测和导航系统
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机译：R0型模糊逻辑度量空间及求解模糊模态的算法

Ability of Solving Augmented Reality Problems with Fuzzy Logic Algorithms

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