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A Novel Method to Eliminate Blind Areas for Moving Double Cameras System Based on Biomimetic Eyes

机译:基于仿生眼的移动双摄系统消除盲区的新方法

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Based on the characteristics of binocular vergence eye movements, A new type of method to reduce blind areas caused by double cameras in motion platform was put forward, and a model for control binocular vergence eye movements was established according to neural pathways of human binocular oculomotor system. With the model, it is guaranteed that target areas can remain in the public vision field of the double cameras all the time during the double cameras platform moving. This feature is very important for the moving double cameras system, since 3D reconstruction needs the double cameras to have an overlapping field of vision. To evaluate the effectiveness of the proposed method, some experiments on the model were conducted. The simulation and experimental results show that the model can realize adaptive binocular vergence movements. Compared with the traditional methods, this new one can eliminate blind areas for moving double cameras system.
机译:针对双眼散光眼球运动的特点,提出了一种减少运动平台中双摄像头引起的盲区的新方法,并根据人眼双眼动眼系统的神经通路,建立了控制双眼散光眼球运动的模型。 。使用该模型,可以确保在双镜头平台移动期间,目标区域始终可以保留在双镜头的公共视野中。此功能对移动的双镜头系统非常重要,因为3D重建需要双镜头具有重叠的视野。为了评估该方法的有效性,对该模型进行了一些实验。仿真和实验结果表明,该模型可以实现自适应的双目散光运动。与传统方法相比,该新方法可以消除移动双摄像头系统的盲区。

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