Volume XLII-2/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 573-580, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-573-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 573-580, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-573-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  31 Jan 2019

31 Jan 2019

A COMPLETE FRAMEWORK OPERATING SPATIALLY-ORIENTED RTI IN A 3D/2D CULTURAL HERITAGE DOCUMENTATION AND ANALYSIS TOOL

A. Pamart1, F. Ponchio3, V. Abergel2, A. Alaoui M'Darhri1, M. Corsini3, M. Dellepiane3, F. Morlet1, R. Scopigno3, and L. De Luca1 A. Pamart et al.
  • 1Modèles et simulations pour l’Architecture et le Patrimoine, GAMSAU team, UMR 3495 CNRS/MC, Marseille, France
  • 2Modèles et simulations pour l’Architecture et le Patrimoine, ARIA team, UMR 3495 CNRS/MC, Lyon, France
  • 3Visual Computing Lab, ISTI-CNR, Pisa, Italy

Keywords: 3D visualization, RTI imaging, Close-Range Photogrammeytry, web visualization

Abstract. Close-Range Photogrammetry (CRP) and Reflectance Transformation Imaging (RTI) are two of the most used image-based techniques when documenting and analyzing Cultural Heritage (CH) objects. Nevertheless, their potential impact in supporting study and analysis of conservation status of CH assets is reduced as they remain mostly applied and analyzed separately. This is mostly because we miss easy-to-use tools for of a spatial registration of multimodal data and features for joint visualisation gaps. The aim of this paper is to describe a complete framework for an effective data fusion and to present a user friendly viewer enabling the joint visual analysis of 2D/3D data and RTI images. This contribution is framed by the on-going implementation of automatic multimodal registration (3D, 2D RGB and RTI) into a collaborative web platform (AIOLI) enabling the management of hybrid representations through an intuitive visualization framework and also supporting semantic enrichment through spatialized 2D/3D annotations.