Globally Optimal Spatio-temporal Reconstruction from Cluttered Videos

We propose a method for multi-view reconstruction from videos adapted to dynamic cluttered scenes under uncontrolled imaging conditions. Taking visibility into account and being based on a global optimization of a true spatio-temporal energy, it offers several desirable properties: no need for silhouettes, robustness to noise, independent from any initialization, no heuristic force, reduced flickering results, etc. Results on real-world data proves the potential of what is, to our knowledge, the only globally optimal spatio-temporal multi-view reconstruction method.

• Type: Conference
• Year: 2009
• Where: ACCV
• Authors: Ehsan Aganj, Jean-Philippe Pons, Renaud Keriven
• Keywords: ACCV 2009, Computer Vision, Dynamic Cluttered Scenes, Multi-view Reconstruction, Spatio-temporal Multi-view Reconstruction