In this paper, we present a novel framework to carry out computations on tensors, i.e. symmetric positive definite matrices. We endow the space of tensors with an affine-invariant...
Pierre Fillard, Vincent Arsigny, Nicholas Ayache, ...
This paper presents an integrated framework for mobile street-level tracking of multiple persons. In contrast to classic tracking-by-detection approaches, our framework employs an ...
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...
The paper presents a new approach to recovering the 3D rigid shape of rigid objects from a 2D image sequence. The method has two distinguishing features: it exploits the rigidity o...
This paper presents a new method for matching individual line segments between images. The method uses both greylevel information and the multiple view geometric relations between...