A Fully Automated Incremental Photogrammetric Processing Dedicated for Collaborative Remote-Computing Workflow

Image based-modeling practices in the field of Cultural Heritage studies are nowadays no longer seen as one-shot applications but as various and complex multimodal scenarios. Current use of SFM and photogrammetric methods implies their extensions to facilitate the management of complex multimodal data sets carried-out by different experts around a single heritage asset. In order to fully benefit of collaborative semantic enrichment of spatially oriented resources, a versatile and robust solution have been developed to enable incremental registration of image-sets within the web-based platform AIOLI. For this purpose, this paper will present an on-going development of a Totally Automated Co-registration and Orientations (TACO) work-flow.