no code implementations • 23 May 2019 • Hassan Afzal, Djamila Aouada, Michel Antunes, David Fofi, Bruno Mirbach, Björn Ottersten
In this work, we propose a sensor fusion framework based on a weighted bi-objective optimization for refinement of extrinsic calibration tailored for RGB-D multi-view systems.
no code implementations • 10 Apr 2019 • Konstantinos Papadopoulos, Girum Demisse, Enjie Ghorbel, Michel Antunes, Djamila Aouada, Björn Ottersten
The Dense Trajectories concept is one of the most successful approaches in action recognition, suitable for scenarios involving a significant amount of motion.
no code implementations • CVPR 2017 • Michel Antunes, Joao P. Barreto, Djamila Aouada, Bjorn Ottersten
The article concerns the automatic calibration of a camera with radial distortion from a single image.
no code implementations • CVPR 2015 • Srikumar Ramalingam, Michel Antunes, Dan Snow, Gim Hee Lee, Sudeep Pillai
We propose a simple and useful idea based on cross-ratio constraint for wide-baseline matching and 3D reconstruction.
no code implementations • CVPR 2013 • Michel Antunes, Joao P. Barreto
This article presents a new global approach for detecting vanishing points and groups of mutually orthogonal vanishing directions using lines detected in images of man-made environments.