This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
We present a common variational framework for dense depth recovery and dense three-dimensional motion field estimation from multiple video sequences, which is robust to camera spe...
Jean-Philippe Pons, Renaud Keriven, Olivier D. Fau...
We present a robust framework for estimating non-rigid 3D shape and motion in video sequences. Given an input video sequence, and a user-specified region to reconstruct, the algori...
In this paper, we present a modified snake model for the problem of general video object tracking. We introduce a new external force into the snake equation based on the predictiv...
This paper presents a novel approach to estimate the changing internal and external parameters of the camera in real time using a few 3D-2D point correspondences. We approach the ...