Volume XLII-2/W9
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W9, 565-571, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-565-2019
© 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, 565-571, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W9-565-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  31 Jan 2019

31 Jan 2019

A FULLY AUTOMATED INCREMENTAL PHOTOGRAMMETRIC PROCESSING DEDICATED FOR COLLABORATIVE REMOTE-COMPUTING WORKFLOW

A. Pamart1, F. Morlet2, and L. de Luca1 A. Pamart et al.
  • 1Modèles et simulations pour l’Architecture et le Patrimoine, UMR 3495 CNRS/MC, Marseille, France
  • 2Centre Interdisciplinaire de Conservation et de Restauration du Patrimoine, LABCOM CICRP/MAP, Marseille, France

Keywords: Close-Range Photogrammetry, Structure From Motion, MicMac, Open-MVG, Web-service, Remote-computing

Abstract. 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.