Real-time robust estimation of vanishing points through nonlinear optimization
Vanishing points are elements of great interest in the computer vision field, since they are
the main source of information about the geometry of the scene and the projection process …
the main source of information about the geometry of the scene and the projection process …
Video-Based Driver Assistance Systems
M Nieto Doncel, J Arróspide Laborda… - 2008 - oa.upm.es
Video-based Driver Assitance Systems (ADAS) are a promising and chellenging field of
work within the Intelligent Transportation System framework. Thwe Grupo Tratamiento de …
work within the Intelligent Transportation System framework. Thwe Grupo Tratamiento de …
[PDF][PDF] Video-based Driver Assistance Systems
M Nieto, J Arróspide, L Salgado… - … Politécnica de Madrid …, 2008 - academia.edu
ABSTRACT Video-based Driver Assistance Systems (ADAS) are a promising and
challenging field of work within the Intelligent Transportation System framework. The Grupo …
challenging field of work within the Intelligent Transportation System framework. The Grupo …
Autocalibration with the minimum number of cameras with known pixel shape
In 3D reconstruction, the recovery of the calibration parameters of the cameras is paramount
since it provides metric information about the observed scene, eg, measures of angles and …
since it provides metric information about the observed scene, eg, measures of angles and …
Real-time robust estimation of vanishing points through nonlinear optimization
M Nieto Doncel, L Salgado Álvarez de Sotomayor - 2010 - oa.upm.es
Vanishing points are elements of great interest in the computer vision field, since they are
the main source of information about the geometry of the scene and the projection process …
the main source of information about the geometry of the scene and the projection process …
Visibility-Based Observation Model for 3D Tracking with Non-parametric 3D Particle Filters
R Mohedano, N García - International Symposium on Visual Computing, 2009 - Springer
This paper presents a novel and powerful Bayesian framework for 3D tracking of multiple
arbitrarily shaped objects, allowing the probabilistic combination of the cues captured from …
arbitrarily shaped objects, allowing the probabilistic combination of the cues captured from …