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基于距离特征的自适应阈值视频拼接算法
引用本文:陈夏艳,伍先达. 基于距离特征的自适应阈值视频拼接算法[J]. 模式识别与人工智能, 2010, 23(5): 727-730
作者姓名:陈夏艳  伍先达
作者单位:1.中国科学院合肥智能机械研究所 智能检测实验室 合肥 230031
2.中国科学技术大学 自动化系 合肥 230027
摘    要:针对虚拟漫游系统中视频拼接问题,提出一种基于距离的自适应阈值拼接算法。通过提取距离特征,并在待匹配的帧图像中采用自适应阈值序列的序贯相似性检测算法搜索匹配特征,从而确定重叠部分的起始列值。实验结果表明,该算法能更好地实现视频拼接,且减少计算量,提高拼接速度。

关 键 词:距离特征匹配  序贯相似性检测算法(SSDA)  视频拼接  虚拟漫游  
收稿时间:2009-03-30

Adaptive Threshold Video Splicing Algorithm Based on Distance Feature
CHEN Xia-Yan,WU Xian-Da. Adaptive Threshold Video Splicing Algorithm Based on Distance Feature[J]. Pattern Recognition and Artificial Intelligence, 2010, 23(5): 727-730
Authors:CHEN Xia-Yan  WU Xian-Da
Affiliation: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.
Keywords:Distance Feature Matching  Sequential Similarity Detection Algorithm (SSDA)  Video Splicing  Virtual Walkthrough  
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