Abstract:

With the development of virtual reality technology, virtual scenic spots are more and more widely used in promotion and introduction of tourist attractions. Roaming function is one of the important functions in virtual scenic spots. In order to make visitors understand the real scenic environment, it is necessary to plan the path according to the needs of visitors and the real environment, find a short enough path between two points without obstacles on the premise that visitors can browse enough pleasing scenery on the path. Firstly, through the analysis of image aesthetic rules, we obtain the factors that affect the aesthetic quality. Then we improve the ant colony algorithm, add image quality constraints, and avoid deadlock problem. We plan a path for an unknown scene, and get a path that conforms to image aesthetics. Experimental results show that the average landscape quality obtained by this method is higher than that of ant colony algorithm, and this method is more suitable for ancient architectural scenes.

Key words: virtual guide, ancient architectural, image quality, path planning