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Pattern Recognition

4th Mexican Conference, MCPR 2012, Huatulco, Mexico, June 27-30, 2012. Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Jesús Ariel Carrasco-Ochoa

    1. Optics and Electronics (INAOE), Computer Science Department, National Institute for Astrophysics, Puebla, Mexico

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  2. José Francisco Martínez-Trinidad

    1. Optics and Electronics (INAOE), Computer Science Department, National Institute of Astrophysics, Puebla, Mexico

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  3. José Arturo Olvera López

    1. Faculty of Computer Sciences, Autonomous University of Puebla, Puebla, Mexico

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  4. Kim L. Boyer

    1. Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA

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  • Fast-track conference proceedings
  • State-of-the-art research

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7329)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MCPR 2012.

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Table of contents (34 papers)

  1. Front Matter

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  2. Keynote Addresses

    1. From Linear Representations to Object Parts

      • Gabriella Sanniti di Baja, L. Serino, Carlo Arcelli
      Pages 1-12

    2. Perceptual Grouping Using Superpixels

      • Sven J. Dickinson, Alex Levinshtein, Cristian Sminchisescu
      Pages 13-22

    3. Automatic Design of Artificial Neural Networks and Associative Memories for Pattern Classification and Pattern Restoration

      • Humberto Sossa, Beatriz A. Garro, Juan Villegas, Carlos Avilés, Gustavo Olague
      Pages 23-34

  3. Image Processing

    1. An Automatic Image Scaling Up Algorithm

      • Maria Frucci, Carlo Arcelli, Gabriella Sanniti di Baja
      Pages 35-44

    2. Sampling Techniques for Monte Carlo Matrix Multiplication with Applications to Image Processing

      • Humberto Madrid, Valia Guerra, Marielba Rojas
      Pages 45-54

    3. Extended Photometric Sampling for Surface Shape Recovery

      • Felipe Hernández-Rodríguez, Mario Castelán
      Pages 55-64

    4. A Segmentation Method for Tree Crown Detection and Modelling from LiDAR Measurements

      • José Luis Silván-Cárdenas
      Pages 65-74

    5. Texture Analysis for Skin Probability Maps Refinement

      • Michal Kawulok
      Pages 75-84

    6. Composite Correlation Filters for Detection of Geometrically Distorted Objects Using Noisy Training Images

      • Pablo M. Aguilar-González, Vitaly Kober
      Pages 85-93

    7. Adaptive Spatial Concealment of Damaged Coded Images

      • Alejandro A. Ramírez-Acosta, Mireya S. García-Vázquez, Mariko Nakano
      Pages 94-106

  4. Computer Vision and Image Recognition

    1. Human Sign Recognition for Robot Manipulation

      • Leonardo Saldivar-Piñon, Mario I. Chacon-Murguia, Rafael Sandoval-Rodriguez, Javier Vega-Pineda
      Pages 107-116

    2. Fuzzy Sets for Human Fall Pattern Recognition

      • Marina V. Sokolova, Antonio Fernández-Caballero
      Pages 117-126

    3. Vision System for 3D Reconstruction with Telecentric Lens

      • José Guadalupe Rico Espino, José-Joel Gonzalez-Barbosa, Roberto Augusto Gómez Loenzo, Diana Margarita Córdova Esparza, Ricardo Gonzalez-Barbosa
      Pages 127-136

    4. A Tool for Hand-Sign Recognition

      • David J. Rios Soria, Satu Elisa Schaeffer
      Pages 137-146

    5. Improving the Multiple Alignments Strategy for Fingerprint Verification

      • Miguel Angel Medina-Pérez, Milton García-Borroto, Andres Eduardo Gutierrez-Rodríguez, Leopoldo Altamirano-Robles
      Pages 147-154

    6. Breaking reCAPTCHAs with Unpredictable Collapse: Heuristic Character Segmentation and Recognition

      • Claudia Cruz-Perez, Oleg Starostenko, Fernando Uceda-Ponga, Vicente Alarcon-Aquino, Leobardo Reyes-Cabrera
      Pages 155-165

    7. Using Short-Range Interactions and Simulated Genetic Strategy to Improve the Protein Contact Map Prediction

      • Cosme E. Santiesteban Toca, Milton García-Borroto, Jesus S. Aguilar Ruiz
      Pages 166-175

  5. Pattern Recognition and Neural Networks

    1. Associative Model for Solving the Wall-Following Problem

      • Rodolfo Navarro, Elena Acevedo, Antonio Acevedo, Fabiola Martínez
      Pages 176-186

    2. The List of Clusters Revisited

      • Eric Sadit Tellez, Edgar Chávez
      Pages 187-196
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  1. Pattern Recognition

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About this book

This book constitutes the refereed proceedings of the 4th Mexican Conference on Pattern Recognition, MCPR 2012, held in Huatulco, Mexico, in June 2012. The 31 revised full papers and 3 keynotes presented were carefully reviewed and selected from 64 submissions and are organized in topical sections on image processing; computer vision and image recognition; pattern recognition and neural networks; and document processing and speech recognition.

Editors and Affiliations

  • Optics and Electronics (INAOE), Computer Science Department, National Institute for Astrophysics, Puebla, Mexico

    Jesús Ariel Carrasco-Ochoa

  • Optics and Electronics (INAOE), Computer Science Department, National Institute of Astrophysics, Puebla, Mexico

    José Francisco Martínez-Trinidad

  • Faculty of Computer Sciences, Autonomous University of Puebla, Puebla, Mexico

    José Arturo Olvera López

  • Department of Electrical, Computer, and Systems Engineering, Rensselaer Polytechnic Institute, Troy, USA

    Kim L. Boyer

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