Modeling, Based On The Single Point Of View Of The Image Scene

Image Based Modeling & Rendering is a fascinating technique of modeling and rendering in recent years, and now it is also the essential technique in the field of virtual navigating. Furthermore, it's most remarkable that IBMR can overcome the deficiency of traditional Geometry Based Modeling and Rendering technique, so IBMR can realize photorealistic modeling and navigating. Under this background, the thesis researches and discusses the problem of scene modeling based on single view image, which people have focused on for many years. Firstly, we summarize the speciality and new development of IBM,IBR and single view modeling respectively. At the same time, we introduce some key concepts and theories which are touched in this thesis. In this framework, the thesis presents a modeling method of special scene based on single view and an algorithm of texture smoothing, and so on. The main content of this thesis is as follows:1. With a given in-door scene, this thesis puts forward a modeling method of special scene based on single view image, which applies to some scenes, especially scenes containing man-made buildings. This method is based on Projective Geometry and Affine Geometry with the linear camera model. Satisfying two premise conditions, this method can obtain the transforming matrix between image pixels and points in the world by some geometry information, such as vanishing point,vanishing line, and some math transformations, such as Vanishing-Line-Transformation,Correspondences-Transformation. So the 3D scene can be modeled according to these geometry information of the scene. This method has the property of smaller computations and simpler modeling procedure.2. This thesis presents an algorithm of texture smoothing based on Catmull-Clark subdivision surfaces. Influenced by image resolution, the scene texture image always has lower resolution so that mosaic appears easily in course of virtual navigating. Because Catmull-Clark subdivision surfaces have better property of continuity and smoothness, the algorithm of texture smoothing based on Catmull-Clark subdivision surfaces has such characters as simpler computations, better continuity and smoothness in color space, and so on. Finally this algorithm get a more perfect result.