Our cultural heritage is intersected by many interests, including those of arts, sciences, resource planning and development and monument preservation, and is exposed not only to the danger and even destruction of the building industry and tourism, but also of its own aging process. Since the intensity of these risks is continually increasing, preservation and research are especially urgent. New technologies, especially scanning and reconstruction, are proving a useful and modern tool in helping to preserve and study our culture heritage.
In recent years, a number of large-scale projects dedicated to archaeological site modelling or museum collection digitization have emerged as an important driving force for major contributions in the field. The Cultural Heritage area is at a point where it can benefit greatly from the application of computer vision methods, and in turn provides a large number of new, challenging, interesting conceptual problems and data for computer vision. In particular, it provides new horizons for the development of shape theory for structured and free-form representation, deformation, and Bayesian inferencing from 3D and 2D data, invariants for matching and searching, conceptual grouping, geometric and feature databases, 3D immersion, and many more. The purpose of TC19 is to provide a forum to discuss how computer vision has been applied to cultural heritage problems and in turn defines new interesting problems to work on. Therefore, we strongly encourage the development, building, and thorough evaluation of individual components and the demonstration of their usage in building complete systems for Cultural Heritage Applications.
|IAPR TC19 (Computer Vision for Cultural Heritage Applications)