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Fadi Dornaika; Jose Manuel Alvarez; Angel Sappa; Antonio Lopez A New Framework for Stereo Sensor Pose through Road Segmentation and Registration 2011 IEEE Transactions on Intelligent Transportation Systems 12 954-966 details   pdf doi
Fernando Barrera; Felipe Lumbreras; Angel Sappa Multispectral Piecewise Planar Stereo using Manhattan-World Assumption 2013 Pattern Recognition Letters 34 52-61 details   doi
Marçal Rusiñol; J. Chazalon; Katerine Diaz Augmented Songbook: an Augmented Reality Educational Application for Raising Music Awareness 2018 Multimedia Tools and Applications 77 13773-13798 details   pdf doi
Monica Piñol; Angel Sappa; Ricardo Toledo Adaptive Feature Descriptor Selection based on a Multi-Table Reinforcement Learning Strategy 2015 Neurocomputing 150 106–115 details   doi
Angel Sappa; Fadi Dornaika; Daniel Ponsa; David Geronimo; Antonio Lopez An Efficient Approach to Onboard Stereo Vision System Pose Estimation 2008 IEEE Transactions on Intelligent Transportation Systems 9 476–490 details   pdf url
Arnau Ramisa; Adriana Tapus; David Aldavert; Ricardo Toledo; Ramon Lopez de Mantaras Robust Vision-Based Localization using Combinations of Local Feature Regions Detectors 2009 Autonomous Robots 27 373-385 details   doi
Katerine Diaz; Jesus Martinez del Rincon; Aura Hernandez-Sabate; Marçal Rusiñol; Francesc J. Ferri Fast Kernel Generalized Discriminative Common Vectors for Feature Extraction 2018 Journal of Mathematical Imaging and Vision 60 512-524 details   pdf doi
Meysam Madadi; Sergio Escalera; Jordi Gonzalez; Xavier Roca; Felipe Lumbreras Multi-part body segmentation based on depth maps for soft biometry analysis 2015 Pattern Recognition Letters 56 14-21 details   doi
Cristhian A. Aguilera-Carrasco; Angel Sappa; Cristhian Aguilera; Ricardo Toledo Cross-Spectral Local Descriptors via Quadruplet Network 2017 Sensors 17 873 details   doi
Fadi Dornaika; Angel Sappa Instantaneous 3D motion from image derivatives using the Least Trimmed Square Regression 2009 Pattern Recognition Letters 30 535–543 details   doi
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