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Publications:

Articles

2019

  1. Santos, Ro; Pardo, X. M and Fdez-Vidal, X. R. Scene wireframes sketching for Unmanned Aerial Vehicles. In Pattern Recognition, 86: 354-367, 2019. doi.. 
  2. Berga, D; Fdez-Vidal, X.R; Otazu, X; Leborán, V and Pardo, X.M. Psychophysical evaluation of individual low-level feature influences on visual attention. In Vision Research, 154: 60-79, 2019. doi.. 

2017

  1. Leborán, V.; Garcia-Diaz, A.; Fdez-Vidal, X.R. and Pardo, X.M.. Dynamic whitening saliency. In Pattern Analysis and Machine Intelligence, 39 (5): 893-907, 2017. doi.. 
  2. Cardoso, J. S.; Pardo, X. M. and Paredes, R.. Foreword to the special issue on pattern recognition and image analysis. In Neural Computing and Applications, 28 (9): 2371-2372, 2017. doi.. 

2015

  1. Alvarez-Santos, V.; Canedo-Rodriguez, A.; Iglesias, R.; Pardo, X.M.; Regueiro, C.V. and Fernandez-Delgado, M.. Route learning and reproduction for a tour-guide robot. In Robotics and Autonomous Systems, 63: 206-213, 2015. doi.. 
  2. Lopez, J.; Santos, R.; Fdez-Vidal, X.R. and Pardo, X.M.. Two-view line matching algorithm based on context and appearance in low textured images. In Pattern Recognition, 48: 2164-2184, 2015. doi.. 

2014

  1. Alvarez-Santos, V.; Iglesias, R.; Pardo, X.M.; Regueiro, C.V. and Canedo-Rodriguez, A.. Gesture-based interaction with voice feedback for a tour-guide robot. In Journal of Visual Communication and Image Representation, 25 (2): 499-509, 2014. doi.. 

2013

  1. Dosil, R.; Pardo, X. M; Fdez-Vidal, X. R; Garcia-Diaz, A. and Leboran, V.. A New Radial Symmetry Measure Applied to Photogrammetry. In Pattern Analysis and Applications, 16 (4): 637-646, 2013. pdf.. 
  2. Canedo-Rodriguez, A.; Regueiro, C.V.; Iglesias, R.; Alvarez-Santos, V. and Pardo, X.M.. Self-organized Multi-Camera Network for Ubiquituous Robot Deployment in Unknown Environments. In Robotics and Autonomous Systems, 61 (7): 667-675, 2013.
  3. Canedo-Rodriguez, A.; Iglesias, R.; Regueiro, C.V.; Alvarez-Santos, V. and Pardo, X.M.. Self-Organized Multi-Camera Network for a Fast and Easy Deployment of Ubiquitous Robots in Unknown Environments. In Sensors, 13 (1): 426-454, 2013. doi.. 

2012

  1. Garcia-Diaz, A.; Fdez-Vidal, X. R; Pardo, X. M and Dosil, R.. Saliency from hierarchical adaptation through decorrelation and variance normalization. In Image and Vision Computing, 30 (1): 51-64, 2012. doi.. 
  2. Alvarez-Santos, V.; Pardo, X.M.; Canedo-Rodriguez, A.; and Regueiro, C.V. and Iglesias, R.. Feature Analysis for Human Recognition and Discrimination: Application to a Person Following Behaviour in a Mobile Robot. In Robotics and Autonomous Systems, 60 (8): 1021-1036, 2012. doi.. 
  3. Garcia-Diaz, A.; Leboran, V.; Fdez-Vidal, X. R and Pardo, X. M. On the relationship between optical variability, visual saliency and eye fixations: a computational approach. In Journal of Vision, 12 (6): 1-22, 2012. pdf.. 
  4. Canedo-Rodriguez, A.; Alvarez-Santos, V.; Regueiro, C.V.; Pardo, X.M. and Iglesias, R.. Multi-agent system for fast deployment of a guide robot in unknown environments. In Journal of Physical Agents, 6 (1): 31-41, 2012. pdf.. 

2008

  1. Dosil, R.; Fdez-Vidal, X. R and Pardo, X. M. Motion representation using composite energy features. In Pattern Recognition, 41 (3): 1110-1123, 2008. doi.. 

2006

  1. Dosil, R.; Pardo, X. M and Fdez-Vidal, X. R. Data-driven synthesis of composite-feature detectors for 3D image analysis. In Image and Vision Computing, 24 (3): 225-238, 2006. doi.. 
  2. Dosil, R.; Fdez-Vidal, X. R and Pardo, X. M. Distances between frequency features for 3D visual pattern partitioning. In Pattern Recognition Letters, 27 (10): 1127-1141, 2006. doi.. 

2005

  1. Dosil, R; Pardo, X.M and Fdez-Vidal, X.R. Decomposition of Three-Dimensional Medical Images into Visual Patterns. In IEEE Transactions on Biomedical Engineering, 52 (12): 2115-2118, 2005. pdf.. 

2004

  1. Pardo, X.M; Leborán, V and Dosil, R. Integrating prior shape models in level-set approaches. In Pattern Recognition Letters, 25: 631-639, 2004. doi.. 

2003

  1. Vilariño, D.L; Cabello, D; Pardo, X.M and Brea, V. Cellular neural networks and active contours: a tool for image segmentation. In Pattern Recognition Letters, 21: 189-204, 2003. doi.. 
  2. Dosil, R and Pardo, X.M. Generalized ellipsoid and anisotropic filtering for segmentation Improvement in 3D medical imaging. In Image and Vision Computing, 21: 325-344, 2003. doi.. 
  3. Pardo, X.M; Radeva, P and Cabello, D. Discriminant snakes for 3D reconstruction of anatomical organs. In Medical Image Analysis, 7: 293-310, 2003. doi.. 

2001

  1. Pardo, X.M; Carreira, M.J; Mosquera, A and Cabello, D. A snake for CT image segmentation integrating region and edge information. In Image and Vision Computing, 19: 461-475, 2001. doi.. 

2000

  1. Pardo, X.M and Cabello, D. Biomedical active segmentation guided by edge saliency. In Pattern Recognition Letters, 21: 559-572, 2000. doi.. 

1999

  1. Pardo, X.M; Sole, A.F and Cabello, D. Segmentación activa de imágenes biomédicas. Nuevos potenciales basados en la notabilidad de bordes y de la disimilaridad entre regiones. In Revista Electrónica de Visión por Computador, 1, 1999.
  2. Pardo, X.M; Cabello, D and Heras, J. An integration scheme for biomedical CT image segmentation. In Journal of Computing and Information Technology, 7: 295-309, 1999.

1998

  1. Pardo, X.M; Vilariño, F; Carreira, M.J; Turnes, R; Cabello, D; Heras, J and Couceiro, J. Application of deformable models in orthopaedic surgery planning. In Journal of Computing and Information Technology (Special Issue on Biomedical Image Processing and Analysis), 6: 191-201, 1998.
  2. Pardo, X.M; Cabello, D; Heras, J and Couceiro, J. A Markov random field model for bony tissue classification. In Computerized Medical Imaging and Graphics (Special Issue on Biomedical Applications), 2: 169-178, 1998. doi.. 
  3. Vilariño, D.L; Brea, V.M; Cabello, D and Pardo, X.M. Discrete-time CNN for image segmentation by active contours. In Pattern Recognition Letters, 19: 721-738, 1998. doi.. 

1997

  1. Pardo, X.M; Cabello, D and Heras, J. A snake for model-based segmentation of biomedical images. In Pattern Recognition Letters, 18: 1529-1538, 1997. doi.. 

 

 

Book chapters

2011

  1. Lopez-Garcia, F; Fdez-Vidal, X. R; Pardo, X. M and Dosil, R.. Scene Recognition through Visual Attention and Image Features: A Comparison between SIFT and SURF Approaches. In Object Recognition, pages 185-198, I-Tech Education and Publishing, Vienna, Austria, 2011. pdf.. 

2009

  1. Lopez-Garcia, F; Fdez-Vidal, X. R; Pardo, X. M and Dosil, R.. BIVSEE — A Biologically Inspired Vision System for Enclosed Environments. In Pattern Recognition, pages 249-266, I-Tech Education and Publishing, Vienna, Austria, 2009. pdf.. 

2008

  1. Garcia, A.; Fdez-Vidal, X. R; Pardo, X. M and Dosil, R.. Local Energy Variability as a Generic Measure of Bottom-Up Salience. In Pattern Recognition Techniques, Technology and Applications, pages 1-24, I-Tech Education and Publishing, Vienna, Austria, 2008. pdf.. 

2007

  1. Dosil, R.; Fdez-Vidal, X. R; Pardo, X. M and Garcia, A.. Energy Feature Integration for Motion Segmentation. In Vision Systems: Segmentation and Pattern Recognition, pages 1-24, I-Tech Education and Publishing, Vienna, Austria, 2007. pdf.. 

1995

  1. Cabello, D; Barro, S; Mosquera, A; Penedo, M.G; Pardo, X.M and Carreira, M.J. Aplicaciones de redes neuronales artificiales en procesado de imágenes. In Computación Neuronal, pages 457-477, Universidad de Santiago de Compostela, Santiago de Compostela, Spain, 1995.

1993

  1. Cabello, D; Mosquera, A; Mallo, J.M; Penedo, M.G; Carreira, M.J and Pardo, X.M. Segmentación de imágenes de texturas mediante redes neuronales artificiales. In Homenaje a Safwan Al Khouri Ibraim, pages 349-360, Universidad de Granada, Granada, Spain, 1993.

 

 

Collections

2019

  1. Santos, R.; Pardo, X.M. and Fdez_Vidal, X.R.. Outlier detection for line matching.

2017

  1. Pardo, X.M and Fdez_Vidal, X.R. What do datasets say about saliency models?. In Pattern Recognition and Image Analysis, pages 104-113, Springer (Heidelberg), Lecture Notes in Computer Science (IbPRIA´17) 10255, 2017.

2015

  1. G. Rodriguez, M. F.; Pardo, X.M and Fdez-Vidal, X.R. Videogrammetry System for Wind Turbine Vibration Monitoring.
  2. Santos, R; Fdez-Vidal, X.R and Pardo, X.M. Adaptative Line Matching for Low-Textured Images.
  3. Santos-Saavedra, D; Pardo, X.M and Iglesias, R. Canonical Views for Scene Recognition in Mobile Robotics.
  4. Santos-Saavedra, D; Pardo, X.M; Iglesias, R; Canedo-Rodriguez, A and Alvarez-Santos, V. Scene Recognition Invariant to Symmetrical Reflections and Illumination Conditions in Robotics.
  5. Santos-Saavedra, D; .Canedo-Rodriguez, A.Canedo-Rodrigue; M.Pardo, X; Iglesias, R and Regueiro, C. V. Scene recognition for robot localization in difficult environments.
  6. Iglesias, R; Alvarez-Santos, V; Rodriguez-Gonzalez, M; .Santos-Saavedra, D.Santos-Saavedr; Regueiro, C. V and Pardo, X. M. Pyramid representations of the set of actions in reinforcement learning.

2013

  1. Lopez, J; Fuciños, M; Fdez-Vidal, X.R and Pardo, X.M. Detection and Matching of Lines for Close-Range Photogrammetry. In Pattern Recognition and Image Analysis, pages 732-739, Springer (Heidelberg), Lecture Notes in Computer Science (IbPRIA´13) 7887, 2013.
  2. Fuciños, M; Lopez, J; Pardo, X.M and Fdez-Vidal, X.R. Fast Implementation of a New Radial Symmetry Measure for Photogrammetry. In Pattern Recognition and Image Analysis, pages 221-228, Springer (Heidelberg), Lecture Notes in Computer Science (IbPRIA´13) 7887, 2013.
  3. Alvarez-Santos, V; Canedo-Rodriguez, A; Iglesias, R; Pardo, X.M and Regueiro, C.V. Route Learning and Reproduction in a Tour-Guide Robot. In Natural and Artificial Computation in Engineering and Medical Applications, pages 112-121, Springer Berlin Heidelberg, Lecture Notes in Computer Science (IWINAC13) 7931, 2013.
  4. Leborán, V; Garcia-Diaz, A; Fdez-Vidal, X.R and Pardo, X.M. Dynamic Saliency from Adaptative Whitening. In Natural and Artificial Computation in Engineering and Medical Applications, pages 345-354, Springer Berlin Heidelberg, Lecture Notes in Computer Science (IWINAC13) 7931, 2013.

2011

  1. Alvarez-Santos, V.; Iglesias, R.; Pardo, X. M.; Canedo-Rodriguez, A. and Regueiro, C. V.. Online Feature Weighting for Human Discrimination in a Person Following Robot. In Foundations on Natural and Artificial Computation, pages 222-232, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IWINAC´11) 6686, 2011.
  2. Canedo-Rodriguez, A.; Iglesias, R.; Regueiro, C. V.; Alvarez-Santos, V. and Pardo, X. M.. Self-organized Multi-agent System for Robot Deployment in Unknown Environments. In Foundations on Natural and Artificial Computation, pages 165-174, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IWINAC´11) 6686, 2011.

2009

  1. Lopez-Garcia, F.; Garcia-Diaz, A.; Fdez-Vidal, X.; Pardo, X.; Dosil, R. and Luna, D.. Improving Scene Recognition through Visual Attention. In Pattern Recognition and Image Analysis, pages 16-23, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IBPRIA´09) 5524, 2009. pdf.. 
  2. Garcia, A.; Fdez-Vidal, X. R; Pardo, X. M and Dosil, R.. Saliency Based on Decorrelation and Distinctiveness of Local Responses. In Computer Analysis of Images and Patterns, pages 261-268, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (CAIP´09) 5702, 2009. pdf.. 
  3. Garcia-Diaz, A.; Fdez-Vidal, X.; Pardo, X. and Dosil, R.. Decorrelation and Distinctiveness Provide with Human-Like Saliency. In Advanced Concepts for Intelligent Vision Systems, pages 343-354, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (ACIVS´09) 5807, 2009. pdf.. 

2006

  1. Dosil, R; Pardo, X.M; Fdez-Vidal, X.R and Garcia, A.. Spatio-temporal Composite-Features for Motion Analysis and Segmentation. In Advanced Concepts for Intelligent Vision Systems, pages 332-343, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (ACIVS´06) 4179, 2006. pdf.. 

2005

  1. Pardo, X.M and Vilariño, D. Techniques in Segmenting 3D Images with Anisotropic Spatial Resolution for Tracking Temporal Image Sequences and their Applications. In Medical Imaging Systems Technology - Methods In Diagnosis Optimization, pages 195-250, World Scientific, Medical Imaging Systems Technology 4, 2005. pdf.. 
  2. Rouco, J; Barreira, N; Penedo, M.G and Pardo, X.M. Conversion into three-dimensional implicit surface representation from topological active volumes based segmentation. In Pattern Recognition and Image Analysis, pages 60-680, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IBPRIA´05) 3523, 2005. pdf.. 
  3. Dosil, R; Fdez-Vidal, X.R and Pardo, X.M. Dissimilarity Measures for Visual Pattern Partitioning. In Pattern Recognition and Image Analysis, pages 287-294, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IBPRIA´05) 3523, 2005. pdf.. 

2004

  1. Dosil, R; Fdez-Vidal, X.R and Pardo, X.M. Multiresolution Approach to Visual Pattern Partitioning of 3D Images. In Image Analysis and Recognition, pages 655-663, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (ICIAR´04) 3211, 2004. pdf.. 

2003

  1. Vilariño, D; Cabello, D; Pardo, X.M and Brea, V.M. Video segmentation for traffic monitoring tasks based on pixel-level snakes. In Pattern Recognition and Image Analysis, pages 1074-1081, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IBPRIA´03) 2652, 2003. pdf.. 

2000

  1. Pardo, X.M; Sole, A.F and Cabello, D. Active segmentation of biomedical images: edge saliency and region dissimilarity. In Pattern Recognition and Applications, pages 233-242, IOS Press/Amsterdam, Frontiers in Artificial Intelligence and Applications 56, 2000.

1997

  1. Vilariño, D; Cabello, D; Mosquera, A and Pardo, X.M. Application of a multilayer discrete-time CNN to deformable models. In Biological and Artificial Computation: From Neuroscience to Technology, pages 1193-1202, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IWANN´97) 1240, 1997. pdf.. 
  2. Pardo, X.M; Cabello, D and Heras, J. A Markov random field model for bony tissue classification. In Image Analysis and Processing, pages 364-371, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (ICIAP´97) 1311, 1997. pdf.. 

1995

  1. Carreira, M.J; Penedo, M.G; Cabello, D and Pardo, X.M. Computer-aided lung nodule detection in chest radiography. In Image Analysis Applications and Computer Graphics, pages 331-338, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (ICSC´95) 1024, 1995. pdf.. 

1993

  1. Cabello, D; Penedo, M.G; Barro, S; Pardo, X.M and .Heras, J.Hera. CT image segmentation by self-organizing learning. In New Trends in Neural Computing, pages 651-656, Springer Berlin/Heidelberg, Lecture Notes in Computer Science (IWANN´93) 686, 1993. pdf.. 

 

 

In Proceedings

2018

  1. Santos, R.; Pardo, X.M. and Fdez-Vidal, X.R.. Scene Wireframes Sketching for Drones. In Proceedings, vol.2, n. 18, 1193, 2018.

2017

  1. Casado, F.E.; Regueiro, C.V.; Iglesias, R.; Pardo, X.M. and López, E.. Automatic selection of user samples for a non-collaborative face verification system. In Robot 2017: Third Iberian Robotics Conference. Vol. XX of the series Advances in Intelligent Systems and Computing, 2017.
  2. Santos, R.; Pardo, X.M. and Fdez-Vidal, X.R.. Scene Wireframes Sketching for UAVs. In IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2017), 2017.

2016

  1. Santos-Saavedra, D.; Iglesias, R. and Pardo, X.M.. Determination of the most relevant images for scene recognition in mobile robotics. In Book of Proceedings of the XVI Workshop of Physical Agents(WAF'2016), pages 71-80, 2016.

2015

  1. Santos-Saavedra, D.; Iglesias, R. and Pardo, X.M.. Unsupervised method to remove noisy and redundant images in scene recognition. In Robot 2015: Second Iberian Robotics Conference. Vol. 418 of the series Advances in Intelligent Systems and Computing, pages 695-704, 2015.

2014

  1. Santos-Saavedra, D.; Pardo, X.M.; Iglesias, R.; Alvarez-Santos, V.; Canedo-Rodriguez, A. and Regueiro, C.V.. Global image features for scene recognition invariant to symmetrical reflection in robotics. In Book of Proceedings of the XIV Workshop of Physical Agents(WAF'2014), pages 29-37, 2014.

2012

  1. Canedo-Rodriguez, A.; Santos-Saavedra, D.; Alvarez-Santos, V.; Regueiro, C.V.; Iglesias, R. and Pardo, X.M.. Analysis of different localization systems suitable for a fast and easy deployment of robots in diverse environments. In Actas del XIII Workshop de Agentes Físicos(WAF'2012), 2012.
  2. Alvarez-Santos, V.; Iglesias, R.; Pardo, X.M.; Regueiro, C.V. and Canedo-Rodriguez, A.. Gesture based interface with voice for a guide robot. In Actas del XIII Workshop de Agentes Físicos (WAF'2012), 2012.

2011

  1. Canedo-Rodriguez, A.; Alvarez-Santos, V.; Regueiro, C.V.; Pardo, X.M. and Iglesias, R.. Multi-agent system for fast deployment of a guide robot in unknown environments. In Actas del XII Workshop de Agentes Físicos (WAF'2011), pages 23-30, 2011.

2010

  1. Lopez-Garcia, F; Garcia-Diaz, A; Fdez-Vidal, X. R and Pardo, X. M. Scene Recognition using Visual Attention, Invariant Local Features and Visual Landmarks. In Proc. Intl. Conf. on Image Processing, Computer Vision and Pattern Recognition (IPCV10), pages 681-686, 2010.
  2. Dosil, R; Pardo, X.M; Fdez-Vidal, X.R; Garcia, A. and Leboran, V.. A New Multiresolution Blob Detector Applied to Photogrammetry. In Proc. II Workshop de Reconocimiento de Formas y Analisis de Imagenes (CEDI10), pages 109-116, 2010.

2009

  1. D. Rodríguez-Fernández,; Vilariño, D.L and Pardo, X.M. A Pixel-Parallel Moving Object Segmentation and Tracking Algorithm for Video Surveillance Applications. In Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (ISPA09). P. Zinterhof, S. Loncaric, a. uhl, A. Carini (Eds.), pages 604-609, Salzburg, Austria, 2009. pdf.. 

2008

  1. Garcia-Diaz, A.; Fdez-Vidal, X. R; Dosil, R. and Pardo, X. M. A novel model of bottom-up visual attention using local energy. In Computational Vision and Medical Image Processing. Proccedings of the VIPImage 2007. Taylor & Francis Group, (Joao Tavares and Natal Jorge Eds.), pages 255-260, 2008.
  2. Bugarín, A; Carreira, M; Lama, M and Pardo, X.M. Plagiarism detection using sotware tools: a study in a Computer Science degree. In Proceedings of EUNIS 2008 Visions for IT in Higher Education, Arhus, Denmark, 2008.
  3. D. Rodríguez-Fernández,; Vilariño, D.L and Pardo, X.M. CNN Implementation of a Moving Object Segmentation Approach for Real-Time Video Surveillance. In Proceedings of the 11th International Workshop on Cellular Neural Networks and their Applications, pages 129-134, Santiago de Compostela, Spain, 2008. pdf.. 

2007

  1. Garcia-Diaz, A.; Fdez-Vidal, X. R; Dosil, R. and Pardo, X. M. Local energy saliency for bottom up visual attention. In Proc. IASTED International Conference on Visualization, Imaging and Image Processing, pages 154-159, 2007.

2004

  1. Río, A. De; Amor, M; Bóo, M and Pardo, X.M. Visualization of anatomical structures based on implicit surfaces and displacement mapping. In The 12th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2004. WSCG 2004 Poster Proceedings, pages 45-48, Plzen, Czech Republic, 2004. pdf.. 
  2. Leborán, V; Pardo, X.M and Dosil, R. Anisotropic diffusion applied to surface reconstruction of implicit surfaces. In Actas del XIV Congreso Español de Informática Gráfica, pages 257-270, Sevilla, Spain, 2004.

2003

  1. Leborán, V and Pardo, X.M. Implicit surface reconstruction and uniform sampling by stripped Marching Triangles. In Proceedings of EUROGRAPHICS´03, pages 86-96, Granada, Spain, 2003.
  2. Leborán, V; Pardo, X.M and Dosil, R. Smooth surface reconstruction form points and normal using implicit surfaces. In Actas del XIII Congreso Español de Informática Gráfica, pages 203-216, A Coruña, Spain, 2003.

2002

  1. Rodríguez, P; Dosil, R; Pardo, X.M and Leborán, V. Automatic generation of initial surfaces for implicit snakes. In Proceedings of the IASTED International Conference. Visualization, Imaging, and Image Processing, pages 113-118, Málaga, Spain, 2002.

2001

  1. Dosil, R; Pardo, X.M and Mosquera, A. Inicialización de superficies deformables mediante elipsoides generalizados. In Actas del XI Congreso Español de Informática Gráfica, pages 235-248, Girona, Spain, 2001.
  2. Dosil, R; Pardo, X.M; Mosquera, A and Cabello, D. Curvature dependent diffusion for feature detection in 3D medical images. In Proceedings of the IASTED International Conference. Visualization, Imaging, and Image Processing, pages 371-376, Marbella, Spain, 2001.

2000

  1. Vilariño, D; Cabello, D; Pardo, X.M and Brea, V.M. Pixel-level snakes. In Proceedings of 15th International Conference on Pattern Recogniton (ICPR´00), pages 640-643, Barcelona, 2000.
  2. Pardo, X.M and Radeva, P. Discriminant snakes for 3d reconstruction in medical images. In Proceedings of 15th International Conference on Pattern Recogniton (ICPR´00), pages 336-339, Barcelona, 2000. pdf..  publisher.. 
  3. Cabello, D; Carreira, M.J; Mosquera, A and Pardo, X.M. Artificial Vision Group at USC. In Pattern Recognition Advances in Iberoamérica, FORO2000, UPC Information, Image and Publications Service, pages 251-264, Barcelona, 2000.
  4. Dosil, R; Pardo, X.M; Mosquera, A and Vilariño, F. Modelado 3D aplicado a segmentación. In Actas del X Congreso Español de Informática Gráfica, pages 393-394, Castellón, Spain, 2000.

1999

  1. Pardo, X.M; Sole, A.F and Cabello, D. Active segmentation of biomedical images: edge saliency and region dissimilarity. In Proceedings of the 8th Spanish Symp. on Pattern Recognition and Image Analysis. Vol I, pages 513-520, Bilbao, 1999.
  2. Vilariño, D.L; Cabello, D; Kozek, T; Pardo, X.M and Brea, V.M. Topological transformations in active contours: A DTCNN-based approach. In Proceedings of the European Conference on Circuit Theory and Design (ECCTD´99), Vol II, pages 1351-1354, Stresa, Italy, 1999.
  3. Pardo, X.M; Mosquera, A and Cabello, D. Extracci&oacite;n de la geometría 3D de estructuras óseas a partir de imágenes CT. In Actas del IX Congreso Español de Informática Gráfica, pages 175-188, Jaén, Spain, 1999.
  4. Cruz, M.A. D; Pardo, X.M and Mosquera, A. Reconstrucción 3D de imágenes médicas a partir de cortes no paralelos. In Actas del IX Congreso Español de Informática Gráfica, pages 379-380, Jaén, Spain, 1999.
  5. Pardo, X.M; Radeva, P and Villanueva, J.J. Self-training statistic snake for image segmentation and tracking. In Proceedings of 10th International Conference on Image Analysis and Processing(ICIAP´99), pages 406-411, Venezia, Ytalu, 1999. pdf.. 

1998

  1. Vilariño, D.L; Brea, V.M; Cabello, D and Pardo, X.M. Active contours with cellular neural networks: a new approach. In Proceedings of the IASTED International Conference. Signal Processing and Communications, pages 427-430, Canarias, 1998.

1997

  1. Pardo, X.M; Cabello, D and Heras, J. Integrating region and edge information in CT image segmentation. In Proceedings of the 7th Spanish Symp. on Pattern Recognition and Image Analysis, Vol. 2, pages 7-12, Barcelona, 1997.

1995

  1. Pardo, X.M; Cabello, D and Heras, J. Automatic 3D shape reconstruction of bones. In Proceedings of the 17th Annual Conference of the IEEE Engineering in Medicine and Biology Society, Vol. I, pages 387-388, Montreal, 1995. pdf.. 
  2. Pardo, X.M; Cabello, D; Carreira, M.J; Penedo, M.G and Heras, J. Knowledge-based CT image analysis: automatic three-dimensional shape reconstrucion of bones. In Proceedings of Second Asian Conference on Computer Vision, Vol. I, pages 504-508, Seoul, 1995.

1994

  1. Carreira, M.J; Cabello, D; Mosquera, A; Penedo, M.G and Pardo, X.M. Knowledge-based segmentation of medical images. In Proceedings of the Seventh European Signal Processing Conference, EUSIPCO´94 Signal Processing VII: Theories and Applications, Vol 2, pages 866-871, Edimburgh, 1994.

1993

  1. Barro, S; Penedo, M.G; Cabello, D and Pardo, X.M. Artificial neural network based processing in a system for lung nodule detection. In Proceedings of Digital Image Computing: Techniques and Applications. DICTA´93. Vol I, pages 79-86, Sydney, 1993.

1992

  1. Mosquera, A; Cabello, D; Pampín, A; Pardo, X.M; Carreira, M.J and Heras, J. Segmentación de imágenes médicas mediante redes neuronales. In Comunicaciones de la XI Reunión Anual de la Asociación Española de Bioingeniería, pages 87-88, Santiago de Compostela, 1992.

 

 

Master's Theses

2015

  1. Rodríguez-García, G.. Sistema de videogrametría para monitorización de turbinas eólicas. Master's Thesis, Escola Técnica Superior de Enxeñaría, Universidade de Santiago de Compostela, 2015.
  2. Dacosta-Gutiérrez, F.. Saliencia e crowdsourcing: patches útiles para avaliar o deseño de páxinas web. Master's Thesis, Escola Técnica Superior de Enxeñaría, Universidade de Santiago de Compostela, 2015.

2014

  1. Santos-Saavedra, D.. Identificación de entornos en robótica móvil mediante la clasificación de escenas y la ubicación física del robot. Master's Thesis, Escola Técnica Superior de Enxeñaría, Universidade de Santiago de Compostela, 2014.

2007

  1. Garcia-Diaz, A.. La energía local como medida de saliencia visual. Master's Thesis, Facultade de Física, Universidade de Santiago de Compostela, 2007.

2005

  1. Fdez-Castro, A.. Segmentación automática de estructuras anatómicas orbitarias. Master's Thesis, Facultade de Física, Universidade de Santiago de Compostela, 2005.

2003

  1. Leborán, V.. Reconstrucción de superficies implícitas a partir de modelos multicorte en imagen médica 3D. Master's Thesis, Facultade de Física, Universidade de Santiago de Compostela, 2003.

2001

  1. Dosil, R.. Curvature dependent anisotropic diffusion for feature detection in 3d medical images. Generalized ellipsoids and anisotropic filtering for segmentation improvement in 3D medical imaging. Master's Thesis, Facultade de Física, Universidade de Santiago de Compostela, 2001.

 

 

PhD Theses

2016

  1. Leboran-Alvarez, V.. Blanqueado adaptativo de escalas espacio-temporales como mecanismo computacional de atención visual dinámica. Ph.D. Thesis, Escola Técnica Superior de Enxeñaría, University of Santiago de Compostela, 2016.

2014

  1. Alvarez-Santos, V.. Development of a general purpose tour-guide robot able to learn routes from people and to adapt and move in unstructured and crowded environments. Ph.D. Thesis, Escola Técnica Superior de Enxeñaría, University of Santiago de Compostela, 2014.

2011

  1. Garcia-Diaz, A.. Modeling early visual coding and saliency through adaptive whitening: Plausibility, assessment and applications. Ph.D. Thesis, Escola Técnica Superior de Enxeñaría, University of Santiago de Compostela, 2011.

2005

  1. Dosil, R.. Data Driven Synthesis of Composite-Feature Detectors for 3d Image Analysis. Ph.D. Thesis, Escola Técnica Superior de Enxeñaría, University of Santiago de Compostela, 2005. pdf.. 

1998

  1. Pardo, X. M. Modelado Sólido de Estructuras Óseas a Partir de Imágenes de Tomografía. Ph.D. Thesis, Facultade de Física, University of Santiago de Compostela, 1998. pdf.. 

 

 

Conference Proceedings

2015

  1. Paredes, R.; Cardoso, J. S and Pardo, X. M, ed.. Patern Recognition and Image Analysis. IbPRIA 2015. Springer, Heidelberg, LNCS 9117 , 2015.