改进网格配准的并行网格正则化和重采样算法

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG) Pub Date : 2013-12-01 DOI:10.1109/NCVPRIPG.2013.6776183

Sumandeep Banerjee, Somnath Dutta, P. Biswas, Partha Bhowmick

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引用次数: 0

摘要

本文提出了一种快速有效的三角网格正则化和重采样算法，用于立体、激光扫描等三维重建方法生成的三角网格。我们还提出了一种有效并行实现算法的方案，并随着处理器核数的增加而增加时间增益。

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Parallel mesh regularization and resampling algorithm for improved mesh registration

In this paper, we present a fast and efficient algorithm for regularization and resampling of triangular meshes generated by 3D reconstruction methods such as stereoscopy, laser scanning etc. We also present a scheme for efficient parallel implementation of the proposed algorithm and the time gain with increasing number of processor cores.

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来源期刊

2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)

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