A Reconstruction System For Archaeological Revoiution Based On Images

The museum is a place to collect, protect and display a variety of important archaeological heritages, but its space is limited. There are many limitations in the realization for sharing resources and disseminating the ancient Chinese culture. With the development of computers and network, these problems can be well solved through building a network-based digital museum system in using digital means. The three-dimensional reconstruction of archaeological heritages is one of the most critical technologies of building a digital museum.Revolutions are the most common archaeological heritages. A large number of cultural relics, such as pottery, porcelain, iron, bronze, etc. are all revolution. The three-dimensional reconstruction technology of the revolution surface has great significance in the protection of cultural relics and archeology. Therefore, it becomes a goal of many researchers in the field of computer graphics and computer vision to reconstructing three-dimensional model of revolution directly and immediately.According to the different equipments, the three-dimensional reconstruction of revolution can mainly be divided into two methods:to use the three-dimensional scanner as the representative approach and two-dimensional image-based approach. The former can accurately obtain the three-dimensional point cloud of revolution, but it has expensive, aggressive, limited in the scope of application, incomplete in collecting data and other shortcomings. So, this approach is not suitable to archaeological revolution. The latter mainly uses the camera equipment, which is low-cost, flexible and able to access color texture directly. This method also has two types. One type is reconstructing a three-dimensional point cloud model firstly, and then reconstructing three-dimensional surface models. It not only can be applied to the revolutions but also other real objects. But there are some shortcomings, for example, the noise points are more and the point cloud is sparse and incomplete. Another type takes advantage of the inherent geometric properties of revolution and estimates directly the rotational axis and the profile curve from two-dimensional images. It is common but often difficult to obtain complete texture information.Based on the basis of previous work, this paper researches and designs an image-based reconstruction system of archaeological revolution. The system uses lower-priced camera equipment to capture 3D point cloud data in replace of the three-dimensional scanner, which not only can solve the problem of expensive equipment, but also can get full texture information. At the same time, this system takes full advantage of the inherent geometric properties of revolution to reconstruct the final three-dimensional surface model by calculating the rotational axis and profile curve. This method is can process some problems such as more noise, sparse or incomplete points and so on.The main works of this paper are:1) Based on the special geometric structure of revolution, studying and implementing a reconstruction system from two-dimensional images to three-dimensional surface model of archaeological revolution, studying several key technologies of the system and analyzing experiment results.2) Fitting profile curve using SDM. In order to reduce the impact of sparse point cloud and noise points to the algorithm and to improve results, this paper introduce moving least-squares before making curve fitting.