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Photorealistic 3D Reconstruction from Handheld Cameras

Tomas Rodriguez 1 Peter Sturm 2 Pau Gargallo 2 Nicolas Guilbert 3 Anders Heyden 3 José Manuel Menéndez 4 José Ignacio Ronda 4 
2 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : One of the major challenges in the fields of computer vision and computer graphics is the construction and representation of life-like virtual 3D scenarios within a computer. The VISIRE project attempts to reconstruct photo-realistic 3D models of large scenarios using as input multiple freehand video sequences, while rendering the technology accessible to the non-expert. VISIRE is application oriented and hence must deal with multiple issues of practical relevance that were commonly overlooked in past experiences. The paper presents both an innovative approach for the integration of previously unrelated experiences, as well as a number of novel contributions, such as: an innovative algorithm to enforce closedness of the trajectories, a new approach to 3D mesh generation from sparse data, novel techniques dealing with partial occlusions and a method for using photo-consistency and visibility constrains to refine the 3D mesh.
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Submitted on : Thursday, October 7, 2010 - 7:00:50 PM
Last modification on : Friday, February 4, 2022 - 3:22:25 AM

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Tomas Rodriguez, Peter Sturm, Pau Gargallo, Nicolas Guilbert, Anders Heyden, et al.. Photorealistic 3D Reconstruction from Handheld Cameras. Machine Vision and Applications, 2005, 16 (4), pp.246-257. ⟨10.1007/s00138-005-0179-4⟩. ⟨inria-00524404⟩



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