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Alternative TitleQuasi-dense matching based on scale invariant Harris feature
孙会超; 惠斌; 常铮
Source Publication计算机应用研究
Contribution Rank1
Keyword尺度不变harris特征 准稠密匹配 局部非极大值抑制 三维重建
Other AbstractQuasi-dense matching is widely used in multi-view 3D reconstruction, and it is important for reconstruction results. Aiming at the quasi-dense matches diffused by the seed points extracted from Sift algorithm are less accurate, this paper proposed a quasi-dense matching algorithm based on scale invariant Harris corners. Firstly, it structured the scale invariant Harris features in multi-scale space, and the feature sets between different views are bidirectional matched by cosine distance similarity measure; Then the seeds selected from the initial matches are applied in quasi-dense matching algorithms by best and first propagation strategy; Finally, a local non-maximum suppression strategy is applied to resampling the quasi-dense matches. Experiments show that the seeds extracted by this algorithm can not only reflect the scene structure information, but also have scale invariant characteristics. And for quasi-dense diffusion, the matching effect and accuracy can be improved, and it is an effective quasi-dense matching algorithm for 3D reconstruction.
Document Type期刊论文
Corresponding Author孙会超
Recommended Citation
GB/T 7714
孙会超,惠斌,常铮. 基于尺度不变Harris特征的准稠密匹配算法[J]. 计算机应用研究,2019,36(5).
APA 孙会超,惠斌,&常铮.(2019).基于尺度不变Harris特征的准稠密匹配算法.计算机应用研究,36(5).
MLA 孙会超,et al."基于尺度不变Harris特征的准稠密匹配算法".计算机应用研究 36.5(2019).
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