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Publicaciones

Listado de publicaciones seleccionadas del MVRLab

Revistas
  • B. Bonev, F. Escolano, D. Giorgi; Silvia Biasotti. ”Information-Theoretic Selection of High-Dimensional Spectral Features for Structural Recognition”. Computer Vision and Image Understanding 117(3): 214-228 (2013)
  • M.A. Lozano, F. Escolano.Graph matching and clustering using kernel attributes. Neurocomputing 113: 177-194 (2013)
  • A. Bandera Rubio, J. Dias, F. Escolano. “Scene understanding and behaviour analysis”. Pattern Recognition Letters 34(7): 711-712 (2013)
  • F. Escolano, E.R. Hancock, M.A. Lozano. "Heat diffusion: Thermodynamic depth complexity of networks", Physical Review E. 85 (3): 036206-1 - 036206-15 (2012)
  • J.M. Sáez, F. Escolano. “6DOF entropy minimization SLAM for stereo-based wearable devices”. Computer Vision and Image Understanding 115(2): 270-285 (2011)
  • J.M. Sáez & F. Escolano. “Entropy Minimization SLAM for Autonomous Vehicles and Wearable Devices”. Computer Vision and Image Understanding (2011)
  • J.M. Sáez & F. Escolano. “Aerial Obstacle Detection for the Visually Impaired Using a Wearable Stereo Device”. Pattern Recognition Letters (2011).
  • M.A. Cazorla, B. Bonev. “Large Scale Environment Partitioning in Mobile Robotic Recognition Tasks”. Journal of Physical Agents, vol.4, n.2 (2010)
  • A. Peñalver, F. Escolano, J.M. Sáez, "Learning Gaussian Mixture Models with Entropy Based Criteria", IEEE Transactions on Neural Networks 20(11): 1756-1771 (2009)
  • W. Aguilar, Y. Frauel, F. Escolano, M.E. Martínez-Pérez, A. Espinosa-Romero, M.A.Lozano: A Robust Graph Transformation Matching for non-rigid registration". Image Vision Computing 27(7): 897-910 (2009)
  • M.A. Lozano, F. Escolano, B. Bonev, P. Suau, W. Aguilar, J.M Sáez, M. Cazorla. Region and Constellations based Categorization of Images with Unsupervised Graph Learning. Image Vision Computing 27(7): 960-978 (2009)
  • Luc Brun, Francisco Escolano: “Preface” (Special Issue). Image Vision Comput. 27(7): 835-836 (2009)
  • P. Suau, F. Escolano. “Bayesian optimization of the scale saliency filter” Image Vision Computing 26(9): 1207- 1218 (2008)
  • B. Bonev, F. Escolano, M.A. Cazorla. “Feature Selection, Mutual Information, and the Classification of High- Dimensional Patterns”. Pattern Analysis and Applications (3-4): 309-319 (2008)
  • M.A. Lozano, F. Escolano: Protein Classification by Matching and Clustering Surface Graphs. Pattern Recognition 39(4): 539-551 (2006)
  • M. Cazorla, F. Escolano: “Two Bayesian Methods for Junction Classification”. IEEE Transactions on Image Processing 12(3): 317-327 (2003)
  • M. Cazorla, F. Escolano, D. Gallardo, R. Rizo: “Junction Detection and Grouping with Probabilistic Edge Models and Bayesian A*”. Pattern Recognition 35(9): 1869-1881 (2002)

 

Contribuciones a congresos
  • F. Escolano, E.R. Hancock, M.A. Lozano. “Graph matching through entropic manifold alignment”. CVPR 2011: 2417-2424
  • P. Suau, F. Escolano. “Entropy Estimation and Multi-Dimensional Scale Saliency”. ICPR 2010: 678-681 (2010)
  • B. Bonev, F. Escolano, D. Giorgi, S. Biasotti. “Information-theoretic Feature Selection from Unattributed Graphs”. ICPR 2010: 930-933 (2010)
  • A, Peñalver, F. Escolano, B. Bonev. “Entropy-Based Variational Scheme for Fast Bayes Learning of Gaussian Mixtures” SSPR/SPR 2010: 100-108
  • P. Suau, F. Escolano. “Analysis of the Multi-Dimensional Scale Saliency Algorithm and Its Application to Texture Categorization”. SSPR/SPR 2010: 698-707 (2010).
  • J.P. Roda, J.M. Sáez, F. Escolano, "Ceiling Mosaics Through Information-Based SLAM", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), San Diego, CA, USA, November 2007
  • F. Escolano, B. Bonev, P. Suau, W. Aguilar, Y. Frauel, J.M. Sáez, M.A. Cazorla, "Contextual Visual Localization: Cascaded Submap Classification, Optimized Saliency Detection and Fast View Matching", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2007), San Diego, CA, USA, November 2007.
  • J.M. Sáez, A. Hogue, F. Escolano, M. Jenkin, "Underwater 3D SLAM through Entropy Minimization", IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, Florida, May 2006.
  • J.M. Sáez, F. Escolano, A. Peñalver, "First Steps Towards Stereo-based 6DOF SLAM for the Visually Impaired", IEEE International Conference on Computer Vision and Pattern Recognition, San Diego, CA, June 2005.
  • J.M. Sáez, F. Escolano, "Entropy Minimization SLAM Using Stereo Vision". IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona, Spain. April 2005.
  • J.M. Sáez, F. Escolano, "A Global 3D Map Building Approach Using Stereo Vision". IEEE International Conference on Robotics and Automation (ICRA 2004), New Orleans, Louisiana. April 2004.
Libros

 

Capítulos de libro
  • Miguel Angel Lozano, Francisco Escolano. "Optimal Image Segmentation Methods Based on Energy Minimization". In: Advances in Image and Video Segmentation. Idea Group Publishing (IGP). ISBN: 1-59140-753-2.

 

Laboratorio de Investigación en Visión Móvil


Miguel Ángel Lozano Ortega
Dpto. de Ciencia de la Computación e Inteligencia Artificial
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