Conférence
Notice
Langue :
Anglais
Crédits
CNRS - Centre National de la Recherche Scientifique (Publication), INRIA (Institut national de recherche en informatique et automatique) (Production), INRIA (Institut national de recherche en informatique et automatique) (Publication), UNS (Publication), Richard Szeliski (Intervention)
Conditions d'utilisation
Droit commun de la propriété intellectuelle
DOI : 10.60527/30xy-ma13
Citer cette ressource :
Richard Szeliski. Inria. (2017, 12 septembre). Visual Reconstruction and Image-Based Rendering. [Vidéo]. Canal-U. https://doi.org/10.60527/30xy-ma13. (Consultée le 19 mars 2024)

Visual Reconstruction and Image-Based Rendering

Réalisation : 12 septembre 2017 - Mise en ligne : 6 avril 2017
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Descriptif

The reconstruction of 3D scenes and their appearance from imagery is one of the longest-standing problems in computer vision. Originally developed to support robotics and artificial intelligence applications, it has found some of its most widespread use in the support of interactive 3D scene visualization.

One of the keys to this success has been the melding of 3D geometric and photometric reconstruction with a heavy re-use of the original imagery, which produces more realistic rendering than a pure 3D model-driven approach. In this talk, I give a retrospective of two decades of research in this area, touching on topics such as sparse and dense 3D reconstruction, the fundamental concepts in image-based rendering and computational photography, applications to virtual reality, as well as ongoing research in the areas of layered decompositions and 3D-enabled video stabilization.

 

Intervention

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