摘要：
针对Radon变换对增强现实运动模糊中短模糊尺度无效的问题，提出一种将Radon变换和Canny边缘检测相结合，并基于视频透视的虚拟物体运动模糊模拟算法。采用Canny边缘检测和Radon变换方法，获得点扩散函数参数和基于GPU实现运动模糊的实时渲染。实验结果证明，该算法在视频透视增强现实系统中，对于长短模糊尺度都能较好地模拟运动模糊效果，从而实现虚实场景的无缝融合。
关键词:
增强现实,
运动模糊,
Canny边缘检测,
Radon变换,
短模糊尺度
Abstract:
Aiming at the invalid problem to short extent at motion blur in Augmented Reality(AR) by applying Radon transformation method, a method to simulate motion blur of virtual object based on video see-through by combining the Radon transformation and Canny is proposed. It contains obtaining the parameters of Point Spread Function(PSF) according to the proposed method and realizing the real time rendering of motion blur based on GPU. Experimental result proves that the proposed method has a good performance in simulating motion blur for both long and short extent and realizes seamless fusion of virtual world and real world in video see-through AR system.
Key words:
Augmented Reality(AR),
motion blur,
Canny edge detection,
Radon transformation,
short blur extent
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