针对虚拟现实眼镜的近/远视反卷积矫正算法
A Fast Deconvolution Algorithm for Correcting Myopia/Hyperopia in Head Mounted Display
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摘要: 近/远视用户在使用当前虚拟现实眼镜时仍需佩戴传统矫正眼镜.针对这一方式造成的使用方便性和舒适性的下降,以及对真实感体验的影响,提出一种基于快速图像反卷积的矫正方法,在不改变任何硬件设备的情况下,仅仅通过对显示内容的改变实现近/远视用户裸眼使用虚拟现实眼镜时的清晰观测.该方法首先利用泽尼克多项式模拟近/远视用户产生模糊观测所对应的模糊,之后利用图像反卷积技术使用模糊核对清晰图像进行预矫正.为了达到快速获得预矫正图像的目的,使用L2进行反卷积能量函数构,并利用傅里叶变换进行快速求解.实验结果表明,该方法能够达到与传统最优方法相当的矫正效,但计算时间取得一个数量级的提升.Abstract: Head mounted display(HMD) has been rapidly developed and used in recent virtual reality applications. When using HMD, users with refractive problems need to wear corrective glasses, which brings inconvenience to them and influences the user experience on the realism of the virtual environment. This paper proposes a fast correction method based on image deconvolution, which only changes the content to be displayed to achieve better display for users without requiring the corrective glasses. This method first uses Zernike Polynomialsto model the refractive problems of users. Then an L2 based regularization is involved in the optimization to calculate a pre-corrected image for the users. Fast Fourier transform(FFT) is further used to accelerate the optimization. Experimental results show that our method achieves equal quality comparing with the state-of-art visual correction method, but is one order magnitude faster.