Modeling, Image-based Mixed Reality Simulation System

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.