Realistic Drawing & Painting with AI-Supported Geometrical and Computational Method (\( \mathbf{\mathit{F}}\mathbf{un}\hbox{-} \mathbf{\mathit{J}}\mathbf{oy} \))

Studies show that at a young age, children unexceptionally exhibit intense interests in depicting and replicating objects from their external world. The most common expression is through drawing and painting. However, it is not an easy task for most of the population. Artistic expression, especially visual art, has long been proven to be remarkably beneficial for STEM (science, technology, engineering and math) education (Tytler, How art is drawing students to STEM, Australian Council for Educational Research (ACER) conference 2016 - improving STEM learning: What will it take?, 2016; Tyler-Wood et al. J Technol Teach Educ 18(2):341–363, 2010). How to effectively impart such important skill knowledge to the majority of students who lack innate artistic talent is an important and difficult task for researchers. We have developed an effective approach with software solution to help students who lack visual art talent to effectively master the skill knowledge of realistic drawing and painting of objects in the world, including human, animal, plant, scene, architecture, machinery, design, etc. The preliminary result shows our approach is very promising.