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Selected publications

  • F. Escolano, P. Suau and B. Bonev. Information Theory in Computer Vision and Pattern Recognition. Springer. Computer Imaging, Vision, Pattern Recognition and Graphics. ISBN: 978-1-84882-296-2, Hardcover, pages: 410 approx (2009).
  • P. Suau and F. Escolano. Exploiting Information Theory for Filtering the Kadir Scale-Saliency Detector. IBPRIA 2007, Lecture Notes in Computer Science (2007).
  • PDF J. Bonora, D. Gallardo. Visual Homing Navigation With Two Landmarks: The Balanced Proportional Triangulation Method. 2006 IEEE/RSJ International Conference on Intelligen Robots and Systems (IROS 2006), Beijing, China, October 2006.
  • J.M. Sáez and F. Escolano. 6DOF Entropy Minimization SLAM. Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, Florida. May 2006.
  • J.M. Sáez, A. Hogue, F. Escolano and M. Jenkin. Underwater 3D SLAM through Entropy Minimization. Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, Florida. May 2006.
  • A. Peņalver, F. Escolano and J.M. Sáez. Color Image Segmentation Through Unsupervised Gaussian Mixture Models. IBERAMIA 2006, Lecture Notes in Computer Science (2006)
  • A. Peņalver, F. Escolano and J.M. Sáez. Two Entropy-based Methods for Learning Unsupervised Gaussian Mixture Models. SSPR/SPR 2006, Lecture Notes in Computer Science (2006)
  • A. Peņalver, F. Escolano and J.M. Sáez. EBEM: An Entropy-based EM Algorithm for Gaussian Mixture Models. ICPR 2006.
  • PDF M.A. Lozano and F. Escolano. Protein Classification by Matching and Clustering Surface Graphs. Pattern Recognition 39(4): 539-551 (2006)
  • F. Escolano and M.A. Lozano. Optimal Image Segmentation Methods based on Energy Minimization. Advances in Image and Video Segmentation, Y.J.Zhang (Ed), CRC Press (in press).
  • M.A. Cazorla and F. Escolano. Feature Extraction and Grouping for Robot Vision Tasks. Cutting Edge Robotics, V. Kordic, A. Lazinica and M. Merdan (Eds), 91-104, ARS (2005).
  • Pablo Suau. Robust artificial landmark recognition using polar histograms. Progress in Artificial Intelligence - 12th Portuguese Conference on Artificial Intelligence (EPIA 2005), Lecture Notes, Covilhã (Portugal).
  • Pablo Suau. Adapting Hausdorff metrics to facial detection systems: a scale-normalized Hausdorff distance approach. Progress in Artificial Intelligence - 12th Portuguese Conference on Artificial Intelligence (EPIA 2005), Lecture Notes, Covilhã (Portugal).
  • M.A. Lozano and F. Escolano. Protein Classification with Kernelized Softassign. GbRPR 2005, Lecture Notes in Computer Science 3434, 332-341 (2005)
  • M.A. Lozano and F. Escolano. Local Entropic Graphs for Globally-Consistent Graph Matching. GbRPR 2005, Lecture Notes in Computer Science 3434, 342-351 (2005)
  • Boyan Bonev, Miguel Cazorla, Humberto Martínez. Walk calibration in a four-legged robot. 8th International Conference on Climbing and Walking Robots. London, (UK) September, 2005.
  • Humberto Martínez, Vicente Matellán, Miguel A. Cazorla, Alexandro Saffioti, David Herrero, Francisco Martín, Boyán Bonev, Kevin LeBlanc. Team Chaos 2005. Robocup 2005, Osaka (Japón), Julio, 2005.
  • J.M. Sáez and F. Escolano. Entropy Minimization SLAM Using Stereo Vision. Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona, Spain. April 2005.
  • J.M. Sáez, F. Escolano and A. Peñalver. First Steps Towards Stereo-based 6DOF SLAM for the Visually Impaired. Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2005), San Diego, CA, June 2005.
  • D. Viejo, J.M. Sáez, M.A. Cazorla and F. Escolano. Active Stereo-based Compact Mapping. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005), Alberta, Canada, August 2005.
  • M.A. Lozano and F. Escolano. Regularization Kernels and Softassign. CIARP 2004, Lecture Notes in Computer Science 3287, 320-327 (2004)
  • M.A. Lozano and F. Escolano. Structural Recognition with Kernelized Softassign. IBERAMIA 2004, Lecture Notes in Computer Science 3315, 626-635 (2004)
  • M.A. Lozano and F. Escolano. A Significant Improvement of Softassign with Diffusion Kernels. SSPR/SPR 2004, Lecture Notes in Computer Science 3138, 76-84 (2004)
  • M.I. Alfonso, F. Barber. A mixed closure-CSP method for solving scheduling problems. Applied Intelligence, 21-2, 173-193 (2004)
  • Diego Viejo, Miguel A. Cazorla. Unconstrained 3D-Mesh Generation Applied to Map Building. Lecture Notes in Computer Science 3287 Springer 2004, ISBN 3-540-23527-2.
  • J.M. Sáez and F. Escolano. A Global 3D Map Building Approach Using Stereo Vision. Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2004), New Orleans, Louisiana. April 2004.
  • M.A. Cazorla and F. Escolano. Two Bayesian Methods for Junction Classification. IEEE Transactions on Image Processing 12(2): 317-327 March (2003)
  • M.A. Lozano and F. Escolano. Two New Scale-Adapted Texture Descriptors for Image Segmentation. CIARP 2003, Lecture Notes in Computer Science 2905, 137-144 (2003)
  • A. Peñalver, J.M. Sáez and F. Escolano. An Entropy Maximization Approach to Optimal Model Selection in Gaussian Mixtures. CIARP 2003, Lecture Notes in Computer Science 2905, 432-439 (2003)
  • J.M. Sáez, A. Peñalver and F. Escolano. Compact Mapping in Plane-Parallel Environments Using Stereo Vision. CIARP 2003, Lecture Notes in Computer Science 2905, 659-666 (2003)
  • M.A. Lozano and F. Escolano. EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching. EMMCVPR 2003: Lecture Notes in Computer Science 2683, 52-67 (2003)
  • M.A. Lozano and F. Escolano. ACM Attributed Graph Clustering for Learning Classes of Images. GbRPR 2003, Lecture Notes in Computer Science, 2726, 247-258 (2003)
  • M.A. Cazorla, F. Escolano, D. Gallardo, and Ramón Rizo. Junction Detection and Grouping with Probabilistic Edge Models and Bayesian A*. Pattern Recognition 35(9): 1869-1881 (2002)
  • J.M. Sáez and F. Escolano. Monte Carlo Localization in 3D Maps Using Stereo Vision. IBERAMIA 2002, Lecture Notes in Computer Science 2527, 913-922 (2002)
  • M.A. Lozano and F. Escolano. Recognizing Indoor Images with Unsupervised Segmentation and Graph Matching. IBERAMIA 2002, Lecture Notes in Computer Science 2527, 933-942 (2002)
  • M.I. Alfonso, F. Barber F. A mixed closure-CSP method to solve scheduling problems. Lecture Notes in Artificial Intelligence 2070, 559-570 (2001)
  • M. Cazorla, F. Escolano, D. Gallardo, and R. Rizo. Bayesian Models for Finding and Grouping Junctions. EMMCVPR'99, Lecture Notes in Computer Science 1654, 70-82 (1999)
  • F. Escolano, M. Cazorla, D. Gallardo, F. Llorens, R. Satorre, and R. Rizo. A Combined Probabilistic Framework for Learning Gestures and Actions. IEA/AIE'98, Lecture Notes in Computer Science 1416 (Vol II), 658-667 (1998)
  • D. Gallardo, O. Colomina, F. Flórez and Ramón Rizo. A Genetic Algorithm for Robust Motion Planning. IEA/AIE'98, Lecture Notes in Computer Science 1416 (Vol II), 115-121 (1998)
  • F. Escolano, M. Cazorla, D. Gallardo and Ramón Rizo. Deformable Templates for Tracking and Analysis of Intravascular Ultrasound Sequences. EMMCVPR'97, Lecture Notes in Commputer Science 1223, 521-534 (1997)

 

 

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