| Speeded up detection of squared fiducial markers FJ Romero-Ramirez, R Muñoz-Salinas, R Medina-Carnicer Image and vision Computing 76, 38-47, 2018 | 935 | 2018 |
| Generation of fiducial marker dictionaries using mixed integer linear programming S Garrido-Jurado, R Munoz-Salinas, FJ Madrid-Cuevas, ... Pattern recognition 51, 481-491, 2016 | 726 | 2016 |
| UcoSLAM: Simultaneous localization and mapping by fusion of keypoints and squared planar markers R Munoz-Salinas, R Medina-Carnicer Pattern Recognition 101, 107193, 2020 | 205 | 2020 |
| Mapping and localization from planar markers R Muñoz-Salinas, MJ Marín-Jimenez, E Yeguas-Bolivar, ... Pattern Recognition 73, 158-171, 2018 | 193 | 2018 |
| A novel method to look for the hysteresis thresholds for the Canny edge detector R Medina-Carnicer, R Munoz-Salinas, E Yeguas-Bolivar, L Diaz-Mas Pattern Recognition 44 (6), 1201-1211, 2011 | 149 | 2011 |
| SPM-SLAM: Simultaneous localization and mapping with squared planar markers R Munoz-Salinas, MJ Marin-Jimenez, R Medina-Carnicer Pattern Recognition 86, 156-171, 2019 | 118 | 2019 |
| Depth silhouettes for gesture recognition R Muñoz-Salinas, R Medina-Carnicer, FJ Madrid-Cuevas, ... Pattern Recognition Letters 29 (3), 319-329, 2008 | 113 | 2008 |
| Polygonal approximation of digital planar curves through break point suppression A Carmona-Poyato, FJ Madrid-Cuevas, R Medina-Carnicer, ... Pattern Recognition 43 (1), 14-25, 2010 | 108 | 2010 |
| Automatic generation of consensus ground truth for the comparison of edge detection techniques NL Fernández-García, A Carmona-Poyato, R Medina-Carnicer, ... Image and Vision Computing 26 (4), 496-511, 2008 | 95 | 2008 |
| Determining hysteresis thresholds for edge detection by combining the advantages and disadvantages of thresholding methods R Medina-Carnicer, A Carmona-Poyato, R Muñoz-Salinas, ... IEEE transactions on image processing 19 (1), 165-173, 2009 | 92 | 2009 |
| On candidates selection for hysteresis thresholds in edge detection R Medina-Carnicer, FJ Madrid-Cuevas, A Carmona-Poyato, ... Pattern Recognition 42 (7), 1284-1296, 2009 | 90 | 2009 |
| Deep multi-task learning for gait-based biometrics MJ Marín-Jiménez, FM Castro, N Guil, F De la Torre, R Medina-Carnicer 2017 IEEE international conference on image processing (ICIP), 106-110, 2017 | 79 | 2017 |
| Unimodal thresholding for edge detection R Medina-Carnicer, FJ Madrid-Cuevas Pattern Recognition 41 (7), 2337-2346, 2008 | 78 | 2008 |
| Design and evaluation of a new three-dimensional motion capture system based on video JLG Castro, R Medina-Carnicer, AM Galisteo Gait & posture 24 (1), 126-129, 2006 | 74 | 2006 |
| 3D human pose estimation from depth maps using a deep combination of poses MJ Marin-Jimenez, FJ Romero-Ramirez, R Munoz-Salinas, ... Journal of Visual Communication and Image Representation 55, 627-639, 2018 | 71 | 2018 |
| Robust identification of fiducial markers in challenging conditions V Mondéjar-Guerra, S Garrido-Jurado, R Muñoz-Salinas, ... Expert Systems with Applications 93, 336-345, 2018 | 70 | 2018 |
| Dominant point detection: A new proposal A Carmona-Poyato, NL Fernández-García, R Medina-Carnicer, ... Image and Vision Computing 23 (13), 1226-1236, 2005 | 69 | 2005 |
| Multi-camera people tracking using evidential filters R Munoz-Salinas, R Medina-Carnicer, FJ Madrid-Cuevas, ... International Journal of Approximate Reasoning 50 (5), 732-749, 2009 | 68 | 2009 |
| Fractal markers: A new approach for long-range marker pose estimation under occlusion FJ Romero-Ramire, R Munoz-Salinas, R Medina-Carnicer IEEE Access 7, 169908-169919, 2019 | 67 | 2019 |
| Shape from silhouette using Dempster–Shafer theory L Díaz-Más, R Muñoz-Salinas, FJ Madrid-Cuevas, R Medina-Carnicer Pattern Recognition 43 (6), 2119-2131, 2010 | 59 | 2010 |
Rafael Muñoz Salinas (ORCID:0000-0...Full Professor of Computer Science, University of Cordoba, SpainVerified email at uco.es
