High Fidelity Cultural Relic Reconstruction Technology And System Based On Computer Vision

During the process of preservation, study and exhibition of the archaeological relics, it may cause irreversible damage to the cultural relics because of the storage environment and the related technologies. And there will be many limitations if we use the real artifacts to display and do research work. In recent years, as the development of cultural relic digitalization techniques, these problems have got feasible solutions, by obtaining and recording the three-dimensional geometry and texture information. These methods provide important support to the heritage repair, research, resource sharing and virtual display.The key technology of cultural heritage digitalization is the reconstruction of the cultural relics. The three-dimensional model should be accurate in both the geometry and the texture. Attentions should be paid to the protection of the cultural relics in the reconstruction process. In this paper, we propose a high fidelity cultural relic reconstruction method based on computer vision technology, as well as design and develop the hardware and software systems.This paper firstly introduces the research background of the cultural relic digitalization and reconstruction. Then it gives the contents of our work:multi-view image acquisition, visual hull and photo-consistency calculation, minimal surface optimization. Consider the view point setup flexibility, sensor reliability and the equipment cost, we use a stepping motor and a single camera. We use a voting method to calculate photo-consistency, and accelerate the algorithm with graphics processor. Both photo-consistency and surface smoothness are considered in surface optimization, and a refinement is performed by iterative optimization. This paper also analysis the architecture and performance of the system, and presents some experimental results. Finally, this paper summarizes the current work, and the further research work is suggested.