Multi-feature fusion based automatic reconstruction in related to Chinese ancient manuscript fragments of Dunhuang-Reference-Cited by-同舟云学术

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Multi-feature fusion based automatic reconstruction in related to Chinese ancient manuscript fragments of Dunhuang

Published:2023 Issue:8 Volume:28 Page:2330-2342
ISSN:1006-8961
Container-title:Journal of Image and Graphics
language:en
Short-container-title:

Author:

Yutong Zheng, ,Xuelong Li,Zixuan Yin,Ge Gao,Yu Weng

Publisher

Aerospace Information Research Institute, Chinese Academy of Sciences

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Human-Computer Interaction

Reference8 articles.

1. da Gama Leitão H C and Stolfi J. 2002. A multiscale method for the reassembly of two-dimensional fragmented objects. IEEE Transactions on Pattern Analysis and Machine Intelligence，24（9）:1239-1251［DOI:10.1109/TPAMI.2002.1033215］

2. De Smet P，De Bock J and Corluy E. 2003. Computer vision techniques for semi-automatic reconstruction of ripped-up documents//Proceedings Volume 5108，Visual Information Processing XII. Orlando，USA:SPIE:189-197［DOI:10.1117/12.501078］

3. Kong W X and Kimia B B. 2001. On solving 2D and 3D puzzles using curve matching//Proceedings of 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Kauai，USA:IEEE:II［DOI:10.1109/CVPR.2001.991015］

4. Lin Y B，Wang C，Cheng J，Chen B L，Jia F K，Chen Z G and Li J. 2015. Line segment extraction for large scale unorganized point clouds. ISPRS Journal of Photogrammetry and Remote Sensing， 102:172-183［DOI:10.1016/j.isprsjprs.2014.12.027］

5. McBride J C and Kimia B B. 2003. Archaeological fragment reconstruction using curve-matching//Proceedings of 2003 Conference on Computer Vision and Pattern Recognition Workshop. Madison，USA:IEEE:3［DOI:10.1109/CVPRW.2003.10008］

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