Adaptive Threshold Video Splicing Algorithm Based on Distance Feature
CHEN Xia-Yan1,2,WU Xian-Da1
1.Intelligent Detection Laboratory,Hefei Institute of Intelligent Machines,Chinese Academy of Sciences,Hefei 230031 2.Department of Automation,University of Science and Technology of China,Hefei 230027
Abstract：An adaptive threshold video splicing algorithm based on distance feature is proposed to solve the problem of video splicing in virtual walkthrough system. The algorithm is used to splice video images captured by virtual walkthrough system.By extracting distance feature, the adaptive threshold sequential similarity detection algorithms (SSDA) it used to search the matching feature in the frame images to be matched. Then, the beginning column of the overlapping part it estimated. Experimental results show the proposed algorithm realizes video splicing better, reduces workload and accelerates the splicing speed.
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2010, Vol. 23 
