Computer Vision-Based Model for Drawing Skill Assessment

Authors

Presenter(s)

Asaad Saeed M. Alghamdi

Comments

Presentation: 2:20 p.m.-2:40 p.m., Kennedy Union 311

This project reflects research conducted as part of a course project designed to give students experience in the research process.

Course: CPS 599

Files

Description

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.

Publication Date

4-20-2022

Project Designation

Course Project

Primary Advisor

Van Tam Nguyen

Primary Advisor's Department

Computer Science

Keywords

Stander Symposium project, College of Arts and Sciences

Recommended Citation

"Computer Vision-Based Model for Drawing Skill Assessment" (2022). Stander Symposium Projects. 2468.
https://ecommons.udayton.edu/stander_posters/2468