We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
We present a closed form solution to the nonrigid shape and motion (NRSM) problem from point correspondences in multiple perspective uncalibrated views. Under the assumption that t...
We present a dynamic near-regular texture (NRT) tracking algorithm nested in a lattice-based Markov-Random-Field (MRF) model of a 3D spatiotemporal space. One basic observation use...
— The paper studies the cyclic pursuit problem in presence of connectivity constraints among single-integrator agents. The robots, each one pursuing its leading neighbor along th...
The features of the emerging modeling languages for system design allow designers to build models of almost any kind of heterogeneous hardware-software systems, including Real Tim...
Marcello Mura, Luis Gabriel Murillo, Mauro Prevost...