IEEE Transactions on Pattern Analysis and Machine Intelligence
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
The Geometry of Multiple Images: The Laws That Govern The Formation of Images of A Scene and Some of Their Applications
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The aim of this work is to propose a method for recovering the 3D geometry of a video sequence taken from a pair of stereo cameras. The cameras are rigidly situated in a fixed position and there are some objects which are moving in front of them. Our method estimates the displacements of objects and the 3D structure of the scene. We establish a temporal constraint that relates the computation of the optical flow and the estimation of disparity maps. We use an energy minimisation approach that yields a system of partial differential equations (PDE) which is solved by means of a gradient descent technique.