Pedro M. Iriondo

Real-Time Display Recognition System for Visually Impaired

Irati Rasines, Pedro M. Iriondo, Ibai Díez, 2012, ICCHP.

Large scale thematic mapping by supervised machine learning on ‘big data’ distributed cluster computing frameworks

Marco Quartulli, Igor G. Olaizola, Pedro M. Iriondo, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

3D active surfaces for liver segmentation in multisequence MRI images

Adrian Galdran, Artzai Picón, Pedro M. Iriondo, 2016, Comput. Methods Programs Biomed..

Highly Scalable, Reversible and Embedded Image Compression System

Pedro M. Iriondo, Federico Pérez González, Iñaki Goiricelaia Ordorika, 2005, WEC.

Automatic slag characterization based on hyperspectral image processing

Artzai Picón, Pedro M. Iriondo, Arantza Bereciartua, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Biologically-inspired data decorrelation for hyper-spectral imaging

Paul F. Whelan, Ovidiu Ghita, Artzai Picón, 2011, EURASIP J. Adv. Signal Process..

Real-time hyperspectral processing for automatic nonferrous material sorting

Paul F. Whelan, Ovidiu Ghita, Artzai Picón, 2012, J. Electronic Imaging.

Automation of waste recycling using hyperspectral image analysis

Paul F. Whelan, Ovidiu Ghita, Artzai Picón, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Automatic 3D model-based method for liver segmentation in MRI based on active contours and total variation minimization

Adrian Galdran, Artzai Picón, Pedro M. Iriondo, 2015, Biomed. Signal Process. Control..

Feature selection for hand pose recognition in human-robot object exchange scenario

Anthony Remazeilles, Irati Rasines, Pedro M. Iriondo, 2014, Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).

Deflectometry setup definition for automatic chrome surface inspection

Adrian Galdran, Pedro M. Iriondo, Alberto Isasi-Andrieu, 2017, 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

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Paul F. Whelan, Ovidiu Ghita, Pedro M. Iriondo, 2022 .