Reality-Based 3D Modeling, Segmentation and Web-Based Visualization

One of the most significant consequences of the introduction of digital 3D modeling in the Cultural Heritage field is the possibility to use reality-based 3D models as highly effective and intuitive means of communication as well as interface to share and visualize information collected in 2D databases. Due to the usual complexity of architectural and archaeological artefacts or sites, their digital models need be subdivided in sub-components and organized following semantic definitions in order to facilitate data retrieval. This paper outlines a methodology to semantically segment complex 3D models, annotate information and share the results within online open-source tools. The segmentation stage is based on both automated and manual methods in order to subdivide and organize 3D models, giving priority to automated procedures that can ease and speed these steps but not neglecting the user intervention to achieve precise results. The segmented and classified 3D models are then visualized in 3D web-based systems to allow data access to a wider range of users and enlarge knowledge. The methodology is presented and tested on reality-based 3D models of large and complex architectural and archaeological heritage structures.

One of the most significant consequences of the introduction of digital 3D modeling in the Cultural Heritage field is the possibility to use 3D models as highly effective and intuitive means of communication as well as interface to share and visualize information collected in databases. Due to the usual complexity of architectural and archaeological artifacts or sites, their digital models need be subdivided in sub-components and organized following semantic definitions in order to facilitate data retrieval. This paper outlines a methodology to semantically segment complex reality-based 3D models, annotate information and share the results within online open-source tools. The segmentation stage to subdivide and organize 3D models is based on both automated and manual methods, giving priority to automated procedures that can ease and speed these steps but not neglecting the user intervention to achieve accurate results. The segmented 3D models are then visualized in web-based systems to allow data access to a wider range of users and enlarge knowledge. The methodology is presented and tested on large and complex reality-based 3D models of architectural and archaeological heritage structures.