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.
A COMPLETE FRAMEWORK OPERATING SPATIALLY-ORIENTED RTI in A 3D/2D CULTURAL HERITAGE DOCUMENTATION and ANALYSIS TOOL / Pamart, A.; Ponchio, F.; Abergel, V.; Alaoui M'Darhri, A.; Corsini, M.; Dellepiane, M.; Morlet, F.; Scopigno, R.; De Luca, L.. - 42:2(2019), pp. 573-580. (Intervento presentato al convegno 8th International Workshop on 3D Virtual Reconstruction and Visualization of Complex Architectures, 3D-ARCH 2019 tenutosi a Bergamo, Italy nel 2019) [10.5194/isprs-archives-XLII-2-W9-573-2019].
A COMPLETE FRAMEWORK OPERATING SPATIALLY-ORIENTED RTI in A 3D/2D CULTURAL HERITAGE DOCUMENTATION and ANALYSIS TOOL
Corsini M.;
2019
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.File | Dimensione | Formato | |
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