标题: | 以RGB-D 摄影机为媒介之二维编辑系统 Using RGB-D Sensor as a Medium for a Two-Dimensional Editing System |
作者: | 陈心凯 黄世强 Chen, Hsin-Kai Wong, Sai-Keung 多媒体工程研究所 |
关键字: | 手势辨识;形状辨识;人机互动;RGB-D摄影机;hand gesture recognition;shape recognition;human and computer interaction;RGB-D sensor |
公开日期: | 2016 |
摘要: | 本篇论文提出一个藉由手势侦测与真实的简单形状物体来操作的二维编辑系统。我们有两种方法可以跟场景中的虚拟物件做互动,其分别是1)藉由操作真实物件来控制虚拟场景中的物体,2)藉由手势来下达对虚拟场景中物体的操作命令。我们的系统使用彩色及深度摄影机来撷取使用者的手以及物体的影像。我们提出了一个以轮廓为基底的手势与物体辨识方法。实验结果显示我们的系统可以达到良好的辨识率。我们的系统可以轻易的操作一些基本的物件编辑命令如移动、放大缩小、旋转、以及复制。我们也有做使用者测试来评量我们的系统。 This paper presents a two-dimensional editing system which is controlled by hand gestures and real objects of simple shape. There are two ways to interact with the virtual objects in the scene: 1) manipulating the real objects to control the virtual objects; and 2) using hand gestures as editing operations to the virtual objects. The system uses a RGB-D sensor to capture the color and depth images of the hands and real objects. We propose a contour-based algorithm to perform hand gesture and shape recognition. Experimental results indicate that our system achieves a good recognition rate. Our system can easily perform the basic editing operations to the virtual objects, such as ‘move’, ‘scale’, ‘rotate’, and ‘copy’. We also conducted a user study to evaluate our system. |
URI: | http://etd.lib.nctu.edu.tw/cdrfb3/record/nctu/#GT070356603 http://hdl.handle.net/11536/138752 |
显示于类别: | Thesis |