Research On Virtual Restoration Display Of Chinese Paintings Based On Augmented Reality
Zhong Qiang, Qing Wang, Hong Chen, Han Mao, Guang Wang · 2023
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.