<p><strong>Abstract.</strong> 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.</p>

Documentation and monitoring of heritage objects involve many actors on multidisciplinary aspects. The progress made over the years in the field of digital technologies has enabled many tools for analysis, management and dissemination of information gathered around an object. These tools must allow users to semantically describe the object while allowing them to grasp its morphological complexity and the heterogeneity of the available analysis supports. This article introduces an approach for the semantic annotation of heritage objects by using the bijective relationship that can be established between a 3D representation of an object and the set of oriented images towards it, while maintaining a continuum of information between all phases of observation and description, from acquisition to visualization of semantically enriched representations. The main idea is to offer a versatile environment to help extraction of relevant information from images using geometric descriptors and semi-automatic point cloud processing methods.

The digital technologies developed in recent decades have considerably enriched the survey and documentation practices in the field of cultural heritage. They now raise new issues and challenges, particularly in the management of multidimensional datasets, which require the development of new methods for the analysis, interpretation and sharing of heterogeneous data. In the case of rock art sites, additional challenges are added to this context, due to their nature and fragility. In many cases, digital data alone is not sufficient to meet contextualization, analysis or traceability needs. In this context, we propose to develop an application dedicated to rock art survey, allowing 3D annotation in augmented reality. This work is a part of an ongoing project about an information system dedicated to cultural heritage documentation. For this purpose, we propose a registration method based on a spatial resection calculation. We will also raise the perspectives that this opens up for heritage survey and documentation, in particular in terms of visualization enhancement.

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