|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Angel Sappa; Boris X. Vintimilla |
Edge Point Linking by Means of Global and Local Schemes |
2006 |
IEEE Int. Conf. on Signal-Image Technology and Internet-Based Systems, Hammamet, Tunisia, December 2006, pp. 551-560. |
|
|
|
|
German Ros; J. Guerrero; Angel Sappa; Daniel Ponsa; Antonio Lopez |
Fast and Robust l1-averaging-based Pose Estimation for Driving Scenarios |
2013 |
24th British Machine Vision Conference |
|
|
|
|
Daniel Ponsa; Antonio Lopez |
Vehicle Trajectory Estimation based on Monocular Vision |
2007 |
3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
|
587-594 |
|
|
David Geronimo; Angel Sappa; Antonio Lopez; Daniel Ponsa |
Adaptive Image Sampling and Windows Classification for On-board Pedestrian Detection |
2007 |
Proceedings of the 5th International Conference on Computer Vision Systems |
|
|
|
|
Daniel Ponsa; Antonio Lopez |
Feature Selection Based on a New Formulation of the Minimal-Redundancy-Maximal-Relevance Criterion |
2007 |
3rd Iberian Conference on Pattern Recognition and Image Analysis, LNCS 4477 |
|
47-54 |
|
|
Hugo Berti; Angel Sappa; Osvaldo Agamennoni |
Autonomous robot navigation with a global and asymptotic convergence |
2007 |
IEEE International Conference on Robotics and Automation |
|
2712–2717 |
|
|
Joan Serrat; Ferran Diego; Jose Manuel Alvarez; Felipe Lumbreras |
Alignment of Videos Recorded from Moving Vehicles |
2007 |
in 14th International Conference on Image Analysis and Processing, |
|
512–517 |
|
|
Arnau Ramisa; Ramon Lopez de Mantaras; Ricardo Toledo |
Comparing Combinations of Feature Regions for Panoramic VSLAM |
2007 |
4th International Conference on Informatics in Control, Automation and Robotics |
|
292–297 |
|
|
Jaume Amores; N. Sebe; Petia Radeva |
Class-Specific Binaryy Correlograms for Object Recognition |
2007 |
British Machine Vision Conference |
|
|
|
|
Daniel Ponsa; Antonio Lopez |
Cascade of Classifiers for Vehicle Detection |
2007 |
Advanced Concepts for Intelligent Vision Systems, LNCS 4678, volume 1, pp. 980–989 |
|
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