A computational fresco sketch generation framework

As a famous cultural wealth, the sketch of fresco is one of the most important art expression forms in the World Heritage. To avoid the damage of natural and human factors, painters can only use photos and videos to depict sketch in most world culture heritage sites, otherwise real frescos. Therefore, a computational method for extracting sketch is helpful and meaningful in sketch copying and researching area. However, existing approaches with the incomplete fresco are not enough to deal with the challenge of sketch extraction. In this paper, we proposes a framework to generate sketch of fresco with frescos as input. To reduce noise and refine detail lines, we adopt hierarchical segmentation technology to extract sketches of different regions respectively, and splice those sketches into an integrated sketch. For replacing the missing content and getting a complete sketch, we provide recommendations from a database of many existing fresco sketches elements for users to select. At last, users can adjust sketch based on vectorization to achieve optimization. Our framework can be used for artists or learners to study painting sketch images and research fresco art. The experimental results demonstrate the effectiveness of our framework.