Research On Virtual Restoration Display Of Chinese Paintings Based On Augmented Reality

Qiang Zhong, Qing Wang, Hong Chen, Mao Han, Guang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2023 4th International Conference on Computer Engineering and Application, ICCEA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages133-137
Number of pages5
ISBN (Electronic)9798350347548
DOIs
StatePublished - 2023
Externally publishedYes
Event4th International Conference on Computer Engineering and Application, ICCEA 2023 - Hangzhou, China
Duration: 7 Apr 20239 Apr 2023

Publication series

Name2023 4th International Conference on Computer Engineering and Application, ICCEA 2023

Conference

Conference4th International Conference on Computer Engineering and Application, ICCEA 2023
Country/TerritoryChina
CityHangzhou
Period7/04/239/04/23

Keywords

  • AR Restoration
  • Feature points extraction and matching
  • ORB

Fingerprint

Dive into the research topics of 'Research On Virtual Restoration Display Of Chinese Paintings Based On Augmented Reality'. Together they form a unique fingerprint.

Cite this