@inproceedings{11a77bde68024cc394fdab369b8a96d8,
title = "Research On Virtual Restoration Display Of Chinese Paintings Based On Augmented Reality",
abstract = "In response to the current problem that a large number of broken Chinese paintings cannot be exhibited, an AR restoration method is proposed that allows visitors to experience the restoration process and appreciate the restored works when they visit. Firstly, the damaged Chinese paintings are digitally restored; then the ORB(oriented fast and rotated brief) algorithm extracts more uniform feature points in terms of quantity and distribution through linear transformation image enhancement and improved adaptive thresholding to ensure the accurate overlay of AR virtual content through feature point matching; finally, the color of virtual content is corrected through histogram matching before the virtual-real overlay to ensure the consistency of AR virtual-real fusion. Finally, the color of the virtual content is corrected by histogram matching before the virtual-real superposition to ensure the consistency of AR virtual-real fusion. The experiments show that the method can effectively solve the problem that the broken paintings and calligraphy cannot be exhibited directly and can increase the participation and immersion of visitors.",
keywords = "AR Restoration, Feature points extraction and matching, ORB",
author = "Qiang Zhong and Qing Wang and Hong Chen and Mao Han and Guang Wang",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 4th International Conference on Computer Engineering and Application, ICCEA 2023 ; Conference date: 07-04-2023 Through 09-04-2023",
year = "2023",
doi = "10.1109/ICCEA58433.2023.10135180",
language = "英语",
series = "2023 4th International Conference on Computer Engineering and Application, ICCEA 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "133--137",
booktitle = "2023 4th International Conference on Computer Engineering and Application, ICCEA 2023",
}