何豫航,岳俊

• 1:武汉大学测绘学院

摘要(Abstract)：

使用CMVS\PMVS密集匹配方法,不需要任何诸如可视壳、深度图、包围盒等先验知识。输入SFM点集,先通过CMVS对影像进行聚簇,以减少数据量,再由基于贴片模型的PMVS方案通过匹配、膨胀、过滤三个步骤,在局部光度一致性和全局可见性约束下完成密集匹配。整个过程中算法能自动剔除外点与障碍物,最终输出结果为覆盖整个重建目标表面的小型矩形贴片集。CMVS\PMVS密集匹配方法适用于对无序影像和室外场景的三维重建。实验结果表明:使用CMVS\PMVS密集方法得到的三维点云非常密集,具有很高的实用价值。

关键词(KeyWords)： 密集匹配;先验知识;三维重建

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 何豫航,岳俊

DOI: 10.14188/j.2095-6045.2013.03.004

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