Skip to Main content Skip to Navigation
Conference papers

Image based rendering of large historical image collections

Abstract : This paper states an overview of my dissertation research centered on the continuous immersive visualization and navigation through time and space of large sets of historical photographs. The research aims for: (i) the treatment of scientific obstacles (e.g. data volume, heterogeneity, distortions, and uncertainties) that appear when old pictures are placed in today's environment; (ii) the visualization (saliently and spatially) of these photos. The main model of the study is image-based rendering IBR, because of its capacity to use imprecise or non-existent geometry (i.e. since a modern 3D scene may differ from a historical one, due to environmental changes over time). The findings of this work may contribute significantly by extending the current IBR models and providing a new innovative way to examine these massive and heterogeneous datasets.
Document type :
Conference papers
Complete list of metadata

Cited literature [14 references]  Display  Hide  Download
Contributor : Evelyn Paiz <>
Submitted on : Tuesday, November 5, 2019 - 4:58:17 PM
Last modification on : Tuesday, December 8, 2020 - 10:07:57 AM
Long-term archiving on: : Thursday, February 6, 2020 - 12:10:51 PM


Files produced by the author(s)


  • HAL Id : hal-02301561, version 1



Evelyn Paiz-Reyes. Image based rendering of large historical image collections. Computer Graphics Forum, May 2019, Genova, Italy. ⟨hal-02301561⟩



Record views


Files downloads