| Title |
Visual Touch Recognition for NUI Using Voronoi-Tessellation Algorithm |
| Authors |
김성관(Kim, Sung Kwan) ; 주영훈(Joo, Young Hoon) |
| DOI |
https://doi.org/10.5370/KIEE.2015.64.3.465 |
| Keywords |
Visual thoch recognition ; Douglas-Peucker ; Voronoi-tessellation ; Natural user interface ; Spatial frequency |
| Abstract |
This paper presents a visual touch recognition for NUI(Natural User Interface) using Voronoi-tessellation algorithm. The proposed algorithms are three parts as follows: hand region extraction, hand feature point extraction, visual-touch recognition. To improve the robustness of hand region extraction, we propose RGB/HSI color model, Canny edge detection algorithm, and use of spatial frequency information. In addition, to improve the accuracy of the recognition of hand feature point extraction, we propose the use of Douglas Peucker algorithm, Also, to recognize the visual touch, we propose the use of the Voronoi-tessellation algorithm. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments. |