基于图像的混合现实仿真系统建模

【作者】 金紫蘅；

【导师】 赵春霞；

【作者基本信息】 南京理工大学 ， 计算机应用， 2004， 硕士

【摘要】 基于图像的混合现实仿真系统建模与计算机视觉、计算机仿真、图象处理、虚拟现实等研究领域有关，分为图片采集、图像处理、轮廓表达，和最后在环境中显示出三维模型等几个步骤，是近年来的研究热点。目前提出了许多的解决方案，但由于图像理解和计算机视觉方面理论的缺乏，只产生了一些初步的理论框架，不同的研究者以各自的模型解释物体，使通用性受到了一定影响。 本文首先从二维图像的信号处理问题着手，利用改进的基于Canny算子的边缘检测方法对原始图片进行处理。然后提出了改进后的基于Hough变换检测直线表示轮廓的一种建模方法，直接用线段方程结合端点坐标来构建汽车简单三维模型，是一种高效的方法。考虑到模型的真实感，本文又提出了另外一种复杂外型建模的方法，物体的轮廓用边缘点序列表示。在处理过程中采用了二次曲线拟合、寻找特征点后部分用直线简化等方法，显著的降低了点的数量，大大提高了效率。最后，对整个三维环境实验场进行了介绍，并给出了实验结果。更多还原

【Abstract】 The thesis is in relation to Computer Vision, Computer Reality, Image Processing and Virtual Reality etc. It is divided into four processes: picture collection, image processing, outline expression and show the three dimension model in the virtual environment. It is a research hotspot these years. A lot of ways which may solve the problem have been introduced. Because we know little about Computer Vision and Image Understanding , a few accidence theories frame have been brought out. Different researcher has his own model to explain the object. It will affect the universality.First, we enter on the two dimension image signal processing, use the improved edge detection way based on Canny operator to deal with original photos, then introduce an improved straight lines detection method based on Hough transform to express the outline and model of the object. It directly builds the model with tail point and equation of the straight line, it is a very simple and efficiency method. Consider about the reality of the model, another complicated shape model method is increased. It use edge points sequence to explain the outline. We use the several ways to simplify the model, just like curve fitting, searching for the special points from the outline. It can greatly decrease the number of the edge points and improve the efficiency of the method. At last, we introduce the entire three-dimension environment and present the experiment result.更多还原