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Methods for 3D Reconstruction from Multiple Images

1 Methods for3D Reconstruction from Multiple ImagesSylvain ParisMIT CSAIL2 Introduction Increasing need for geometric 3D models Movie industry, games, virtual Existing solutions are not fully satisfying User-driven modeling: long and error-prone 3D scanners: costly and cumbersome Alternative: analyzing image sequences Cameras are cheap and lightweight Cameras are precise (several megapixels)3 Outline Context and Basic Ideas Consistency and Related Techniques Regularized Methods Conclusions4 Outline Context and Basic Ideas Consistency and Related Techniques Regularized Methods Conclusions5 Scenario A scene to reconstruct (unknown a priori) Several viewpoints from 4 views up to several hundreds 20~50 on average Over water non-participatingmedium6 Sample Image Sequence[Lhuillier and Quan]How to retrieve the 3D shape?

Multi-scale Approach • Optimizing only a narrow band • Progressive refinement ªAbout 10 to 30 minutes (and no exact silhouettes) input result [Hornung 06] intermediate scales [Hornung 06] [Hornung 06] A. Hornung and L. Kobbelt. Hierarchical volumetric multi-view stereo reconstruction of manifold surfaces based on dual graph embedding. CVPR ...

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