|
Author |
Title |
Year |
Publication |
Volume |
Pages |
Links |
|
Angel Sappa; M.A. Garcia |
Hierarchical Clustering of 3D Objects and its Application to Minimum Distance Computation |
2004 |
IEEE International Conference on Robotics & Automation, 5287–5292, New Orleans, LA (USA), ISBN: 0–7803–8232–3 |
|
|
|
|
Muhammad Anwer Rao; David Vazquez; Antonio Lopez |
Opponent Colors for Human Detection |
2011 |
5th Iberian Conference on Pattern Recognition and Image Analysis |
6669 |
363-370 |
|
|
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
Factorization with Missing and Noisy Data |
2006 |
6th International Conference on Computational Science |
LNCS 3991 |
555–562 |
|
|
Angel Sappa; David Geronimo; Fadi Dornaika; Antonio Lopez |
Real Time Vehicle Pose Using On-Board Stereo Vision System |
2006 |
International Conference on Image Analysis and Recognition |
|
205–216 |
|
|
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
An Iterative Multiresolution Scheme for SFM |
2006 |
International Conference on Image Analysis and Recognition |
LNCS 4141 |
804–815 |
|
|
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 |
|