3D digital reconstruction and application of traditional ceramic design works based on 3dMAX virtual simulation technology

Abstract

Ceramics is an ancient and precious craft and art form, with a long history and rich cultural traditions. Modern technology has put forward higher requirements for the preservation of ceramics, but there are many weak texture areas in ceramics, making their recognition difficult. Therefore, this study proposes a processing algorithm for ceramic weak texture regions based on the 3dMAX virtual simulation technology. This includes feature extraction and matching algorithms based on distance and texture combined with normalized cross-correlation coefficients, as well as motion structure optimization algorithms to solve coordinate drift problems. The experimental results show that the former algorithm improves the performance by 15–25% compared to scale invariant feature transformation and accelerated KAZE feature algorithm. Under the same accuracy conditions, the former algorithm has a higher recall rate and an average improvement of 27.4% in feature matching success rate. The latter algorithm has the highest degree of coordinate drift of only 1.03%, which is 14.9% and 6.4% higher than traditional algorithms and visual simultaneous localization and map construction algorithms, and the average time consumption is reduced by 17.9% and 15.1%, respectively. In summary, this study provides an effective approach for the digital preservation and cultural inheritance of traditional ceramic works, which is of great significance for promoting ceramic culture.