Image-based Auto-positioning Brush for Interactive Painting Systems

• Main Authors: Jiun-Yu Chen, 陳俊宇
• Other Authors: Jar-Ferr Yang
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/55651869484811893073

碩士 === 國立成功大學 === 電腦與通信工程研究所 === 97 === More and more inventions in uses of multimedia services and human machine interface (HMI) have been greatly created recently. Due to appealing appearances, versatile functionalities, and low prices, some of them are popular through mass productions. In this thesis, the main goal is to realize an interactive painting system, which is primarily based on image recognition. In order to achieve a steady and low cost system, the proposed system is integrated by a general camera and a liquid crystal display (LCD) monitor in hardware. By using the designed positioning pattern and recognition technique, we accomplished various advanced painting functions, such as capturing texture, auto-positioning, icon selection, and posting a small video, etc. The proposed painting system was practiced by kindergartners. Experimental result shows that image-based auto-positioning brush (IA-Brush), which integrates with a video camera, LCD monitor, and pattern recognition technique, can achieve a highly-acceptable interactive painting system. We believe that the proposed system will exhibit great contributions to many other applications in interactive multimedia education and entertainment systems.