Dr. Carlos Brito-Loeza

         

Contact

 

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Facultad de Matemáticas, Laboratorio de Aprendizaje Automático y Visión, Edificio G

Tel. y Fax: (999) 942-31-40 al 49 ext. 1095

Curriculum vitae - download

Education and Awards

  • PhD Mathematics, University of Liverpool, United Kingdom.

  • MSc. Mathematics, Universidad Autónoma de Yucatán, México.

  • BSc. Eletronic Engineering, Instituto Tecnológico de Mérida, México.

  • Membership to the National System of Researchers since 2010, currently Level I.

Research interests

  • Computer vision and robotics; Imaging and digital signal processing algorithms.

  • Variational methods; Nonlinear PDE's; Ill-posed inverse problems.

  • Numerical optimization and analysis; Parallel computation; Multigrid methods.

Journal publications

  1. Brito‐Loeza, Carlos, Ke Chen, and Victor Uc‐Cetina, “Image denoising using the Gaussian curvature of the image surface”, Numerical Methods for Partial Differential Equations, 32(3):1066-1089, 2015.

  2. Ibrahim, Mazlinda, Ke Chen, and Carlos Brito-Loeza, “A novel variational model for image registration using Gaussian curvature”, Geometry, Imaging and Computing, 1(4):417-446, 2014.

  3. Víctor Uc-Cetina, Carlos Brito-Loeza, and Hugo Ruiz-Piña, “Chagas Parasite Detection in Blood Images Using AdaBoost”, Computational and Mathematical Methods in Medicine, Article ID 139681, 13 pages, doi:10.1155/2015/139681, 2015.

  4. César Cobos-May, Víctor Uc-Cetina, Carlos Brito-Loeza, and Anabel Martin-Gonzalez, “A Convex Set Based Algorithm to Automatically Generate Haar-Like Features”, Journal Computer Science, 2(2):64-70, 2014.

  5. Ricardo Legarda-Saenz, Carlos Brito-Loeza  and Arturo Espinosa-Romero, “Variational method for integrating radial gradient field”, Optics and Lasers in Engineering, 63:53-57, 2014.

  6. Ricardo Legarda-Saenz, Carlos Brito-Loeza, and Arturo Espinosa-Romero, “Total variation regularization cost function for demodulating phase discontinuities”, Applied optics 53(11): 2297-2301, 2014.

  7. Martha Varguez-Moo, Victor Uc-Cetina, and Carlos Brito-Loeza, “Clasificación de documentos usando Máquinas de Vectores de Apoyo”, Abstraction and Application Magazine, 2014.

  8. Víctor Uc-Cetina, Carlos Brito-Loeza, and Hugo Ruiz-Piña, “Chagas parasites detection through Gaussian discriminant analysis”, Abstraction and Application Magazine 8, 2014.

  9. Roger Soberanis-Mukul, Víctor Uc-Cetina, Carlos Brito-Loeza, Hugo Ruiz-Piña, “An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample images”, Computer methods and programs in biomedicine 112(3):633-639, 2013.

  10. Carlos Brito-Loeza and Ke Chen, “Fast iterative algorithms for solving the minimization of curvature-related functionals in surface fairing”, International Journal of Computer Mathematics, 90(1):92-108, 2013.

  11. Noppadol Chumchob, Ke Chen and Carlos Brito-Loeza, “A new variational model for removal of combined additive and multiplicative noise and a fast algorithm for its numerical approximation”, 90(1):140-161, 2013.

  12. Noppadol Chumchob, Ke Chen and Carlos Brito-Loeza, “A Fourth Order variational Image Registration Model and Its Fast Multigrid Algorithm”, SIAM Multiscale Modeling and Simulation, 9(1):89-128, 2011.

  13. Carlos Brito-Loeza and Ke Chen, “Fast Numerical Algorithms for the Euler’s Elastica Inpainting Model”, International Journal of Modern Mathematics, 5(2):157-182, 2010.

  14. Carlos Brito-Loeza and Ke Chen, “Multigrid Algorithm for High-Order Denoising”, SIAM Journal on Imaging Sciences, 3(3):363-389, 2010.

  15. Carlos Brito-Loeza and Ke Chen, “On High Order Denoising Models and Fast Algorithms for Vector-valued Images”, Image Processing, IEEE Transactions on, 19(6):1518-1527, 2010.

  16. Carlos Brito-Loeza and Ke Chen, “Multigrid Method for a Modified Curvature Driven Diffusion Model for Image Inpainting”, Journal of Computational Mathematics, 26(6): 856-875, 2008.

Talks

  1. A Gaussian Curvature Based Denoising Model for Non-Gaussian Noise, SIAM Conference on Imaging Science, May 23-26, Hotel Albuquerque at Old Town, Albuquerque, New Mexico, USA, 2016.

  2. Fringe Analysis Using Curvature Models, SIAM Conference on Imaging Science, May 23-26, Hotel Albuquerque at Old Town, Albuquerque, New Mexico, USA, 2016.
  3. Image Denoising Using the Gaussian Curvature of the Image Surface, SIAM Conference on Imaging Science, May 12-14, Hong Kong Baptist University, Hong Kong, 2014.

  4. High order models and fast algorithms for fairing variational implicit surfaces, SIAM Conference on Imaging Science, May 20-22, Philadelphia, Pennsylvania, USA, 2012.

  5. On numerical algorithms for level set and curvature based models for surface fairing. 24th. Biennial Conference on Numerical Analysis, University of Strathclyde, Glasgow, UK, 2011.

  6. On high order variational models for blind image deblurring, International Workshop on Image Processing Techniques and Applications, 22-23 June, CMIT, Liverpool, UK, 2011.

  7. High-Order Vector-Valued Models for Image Restoration, SIAM Conference on Imaging Science, April 12th - 14th, Chicago, Illinois, USA, 2010.

  8. Multigrid Algorithms for High Order Variational Models with Applications to Digital Image Denoising and Inpainting, 23rd. Biennial Conference on Numerical Analysis, University of Strathclyde, Glasgow, UK, 2009.

Completed Theses

  1. Métodos de conjuntos de nivel para la evolución interactiva de superficies implícitas en entornos virtuales de sistemas hápticos, MAESTRIA, Josué Tadeo Moreno Vázquez, 2015.

  2. Algoritmo de segmentación de objetos basado en la forma con aplicación en sistemas de vigilancia, MAESTRIA, Erberth Jesús Castillo Ceh, 2015.

  3. Clasificación en tiempo real de imágenes hiperespectrales de percepción remota usando múltiples GPUs y un CPU multinúcleo, LICENCIATURA, Felipe de Jesús Solís, 2014.

  4. Algoritmos de segmentación de Trypanosoma cruzi en imágenes de muestras sanguíneas, MAESTRIA, Roger David Soberanis Mukul, 2014.

  5. Algoritmos para diseñar plantillas de convolución que determinan características tipo Haar, MAESTRIA, César Iván Cobos May, 2014.

  6. Modelo de Contornos Activos para la Segmentación de Parásitos en Imágenes de Sangre, MAESTRIA, Juan Antonio Ríos Briceño, 2013.

  7. Análisis, Construcción y Evaluación de un robot delta, MAESTRIA, David Felipe Morales Aldana, 2013.

  8. Método Actor-Critico para tareas de aprendizaje por refuerzo en espacios de estados y una acción con parámetros continuos, MAESTRIA, Francisco Coral Sabido, 2013.

  9. Detección de Trypanosoma Cruzi en Imágenes obtenidas a partir de muestras sanguíneas, LICENCIATURA, Roger David Soberanis Mukul, 2012.

  10. Paralelización del Método de los Contornos Activos, LICENCIATURA, Juan Antonio Ríos Briceño, 2011.