Registration between multiple sequences for scene reconstruction

	Registration between multiple sequences for scene reconstruction
	Yang, L.; G.-J. Li and L.-R. Wang
	2015
发表期刊	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
卷号	23 期号:2 页码:557-565
摘要	As traditional single sequence scene reconstruction method is easy to loss scene information and has a lower data utilization, this paper proposes an approach to the registration between multiple sequences for scene reconstruction. The method uses a similarity transformational as the registration model and proposes the separating initial registration method to deal with the scale, rotation and translation respectively. Then, it fits the observed plane to suppress the noise data and select the co-visible points. Finally, the registration between multiple sequences with different scales, positions is performed and the registration results are applied in successive subsequent reconstruction. The experiment shows that the initial error has been reduced from 17.69% to 46.86%, and the terminated error reduced from 27.5% to 71.96% after suppression of noise data along the oriented orientation. Moreover, the 10 596 vertices are reconstructed from 47 frame images, more better than 3893 vertices reconstructed by traditional single sequential method. The proposed method full makes use of the observation images and allows the ultimate fitting surface of the scene to have more scene details. , 2015, Chinese Academy of Sciences. All right reserved.
文章类型	期刊论文
收录类别	EI
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/56126
专题	中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Yang, L.,G.-J. Li and L.-R. Wang. Registration between multiple sequences for scene reconstruction[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2015,23(2):557-565.
APA	Yang, L.,&G.-J. Li and L.-R. Wang.(2015).Registration between multiple sequences for scene reconstruction.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,23(2),557-565.
MLA	Yang, L.,et al."Registration between multiple sequences for scene reconstruction".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 23.2(2015):557-565.

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面向场景重构的多序列间配准.caj（345KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	浏览下载