Computer Vision-Based Model for Drawing Skill Assessment
Asaad Saeed M. Alghamdi
Drawing is a natural process for all people. Assessing the drawing skill is beneficial to some applications. The main objective of this assessment is to match the hand drawing with a pre-defined template. In computer vision, a rapid and robust method for matching objects is required to fulfill this goal. Many recent techniques have a complicated struggle with the same concept which means they could encounter some difficulties to determine the object in an image. On the other hand, computers can be trained to identify the match at a human level. In this research, we propose a framework to assess the drawing skill based on computer vision algorithms.
Van Tam Nguyen
Primary Advisor's Department
Stander Symposium project, College of Arts and Sciences
"Computer Vision-Based Model for Drawing Skill Assessment" (2022). Stander Symposium Projects. 2468.