多视点视频编码中的视频目标提取与视差匹配  

Video Object Extraction and Disparity Estimation in Multi-View Video Coding

作　　者：朱仲杰[1] 蒋刚毅[1] 郁梅[1] 吴训威[1] 

机构地区：[1]宁波大学电路与系统研究所

出　　处：《电子学报》2004年第5期848-850,共3页Acta Electronica Sinica

基　　金：浙江省青年人才基金(No.RC01057);西安电子科技大学ISN国家重点实验室开放基金;宁波市重点博士基金(No.01J2030005;No.2003A61001);教育部留学回国人员科研基金

摘　　要：在单通道视频目标分割算法的基础上 ,首先提出一种多视点视频编码中的视频目标提取方案 .然后提出一种基于多级块匹配视差估计算法 .应用Moravec算子对视差矢量图进行检测 ,提取特征视差矢量并对其进行精确度检验 .若特征视差矢量不够精确 ,则其所在块将重新进行小范围的块匹配 .若块匹配误差仍太大则将其分裂为四个子块重新匹配 .与传统块匹配算法相比 ,新方法能获得较为精确和平滑的视差场 ,提高重建后的图像质量 .Based on algorithm for extracting video objects in one view-channel, a new scheme of extracting video objects in multi-view coding is proposed. A disparity estimation algorithm based on multi-level block matching is proposed. Moravec operator is used to find out characteristic disparity vectors in disparity images for precision confirmation. If a characteristic disparity vector is not precise enough, the block it belongs to will be matched again around the area indicated by the vector. If a block is still not matched precisely, it is split into four equal sub-blocks for block matching. Compared with traditional block-matching based algorithm, more precise and smooth disparity field can be acquired with the proposed algorithm, so that the quality of reconstructed image can be greatly improved.

关 键 词：多视点视频编码 视频目标提取 视差估计 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]