Real Time Localization and 3D Reconstruction

In this paper we describe a method that estimates the motion of a calibrated camera (settled on an experimental vehicle) and the tridimensional geometry of the environment. The only data used is a video input. In fact, interest points are tracked and matched between frames at video rate. Robust estimates of the camera motion are computed in real-time, key-frames are selected and permit the features 3D reconstruction. The algorithm is particularly appropriate to the reconstruction of long images sequences thanks

• Type: Conference
• Year: 2006
• Where: CVPR
• Authors: E. Mouragnon, Fabien Dekeyser, Patrick Sayd, Maxime Lhuillier, Michel Dhome
• Keywords: Computer Vision, CVPR 2006, Features 3D Reconstruction, Images Sequences Thanks, Tridimensional Geometry