Shadow generation algorithm of augmented reality using adaptive sampling and fusion

Abstract

Since the soft shadow achieved by the existing shadow generation algorithms of Augmented Reality(AR) is unrealistic,the authors proposed a shadow generation algorithm using adaptive sampling and background fusion.First,the authors computed shadow spatial location distribution of virtual objects by using planar shadow algorithm which took occlusion into account.Then,to improve the procedure of soft shadow generation in swell and erode algorithm,an adaptive sampling method which got illuminant union according to shape types was presented.Finally,since shadow color gotten by gray image method was limited to single channel,the authors presented a method based on multi-channel and background fusion.The experimental results show that in the proposed algorithm the color of soft shadow is more reasonable and the method of soft shadow rendering is more effective.Consequently,the presented algorithm improves the realism of soft shadow.