Image sequence processing techniques are essential to study dynamical processes such as exchange, growth, and transport processes. In this survey paper, a generalized framework for...
This paper presents a framework for dynamic 3D shape and motion reconstruction from multi-viewpoint images using a deformable mesh model. By deforming a mesh at a frame to that at...
This paper presents methods for detection and reconstruction of `missing' data in image sequences which can be modelled using 3-dimensional autoregressive (3DAR) models. The ...
We focus on motion estimation using a block matching approach and suggest using a minimum-entropy criterion. Many entropy-based estimation procedures exist, such as plug-in estima...
Sylvain Boltz, Eric Wolsztynski, Eric Debreuve, Er...
In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish ...