Distinguishing Hand Drawing Style Based on Multilevel Analytics Framework

Abstract

Hand drawing is an indispensable professional skill in the fields of environmental design, industrial design, architectural engineering, civil engineering, and other engineering design education. Students usually imitate masterpieces to practice basic skills, which is an important link for a beginner. A system for digital management requires a function for an automatic recommendation task of different brushwork skill expressions. Thus, the classification method for brushwork is to combine hand-crafted features generated by DCNN and then use the final features for input to a tree structure classification scheme. The method improvement of the other deep learning models has effectiveness in distinguishing art ontology attributes.