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Luis Gerardo de la Fraga
     
Luis Gerardo de la Fraga
Researcher CINVESTAV 3-C
Department of Computer Science
CINVESTAV-IPN
Av. IPN No. 2508 Col. San Pedro Zacatenco
Mexico, D.F. 07360. MEXICO
Level in the National System of Researchers: 1
Personal page:  http://delta.cs.cinvestav.mx/~fraga/

Phone:  +52 55 5747 3755
Fax:   +52 55 5747 3757
Excelencia en Investigación

y Posgrado

Education

· PhD in Informatics Engineering, Autonomous University of Madrid, Spain, 1998.
· MSc in Electronics Engineering, National Institute of Astrophysics, Optics and Electronics (INAOE), Mexico, 1992.
· BSc in Electronical Industrial Engineering, Veracruz Institute of Technology, Mexico, 1991.

Research Interests

His major research interests are in visualization, computer graphics (mainly deformable objects), computer vision and digital image processing. Additionally, he is also interested in network security.

Keywords:   Computer graphics, visualization, computer vision, image processing.

Selected Publications.

1. Heriberto Cruz-Hernández, Luis Gerardo de la Fraga, A fiducial tag invariant to rotation, translation, and perspective transformations, Pattern Recognition, 81, 2018, pp. 213--223. DOI: 10.1016/j.patcog.2018.03.024. 

2. Heriberto Cruz Hernández and Luis Gerardo de la Fraga, Order type dataset analysis for fiducial markers, Data in brief, 2018 20, pp. 1068--1072. DOI: 10.1016/j.dib.2018.08.126.

3.  Jesús López-Arredondo, Esteban Tlelo-Cuautle, and Luis Gerardo de la Fraga, High-Q and Wide-Bandwidth Capacitor Multiplier Optimized by NSGA-II, IETE Journal of Research, 2018, pp. 1--6. DOI: 10.1080/03772063.2018.1436987.

4. L.G. de la Fraga, E. Torres-Pérez, E. Tlelo-Cuautle, and C. Mancillas-López, Hardware Implementation of pseudo- random number generators based on chaotic maps, Nonlinear Dynamics (2017) Volume 90, Issue 3, pages 1661— 1670, DOI: 10.1007/s11071-017-3755-z.

5. Esteban Tlelo-Cuautle, José de Jesús Rangel-Magdaleno and Luis Gerardo de la Fraga, Engineering Applications of FPGAs, 2016, Springer. ISBN 978-3-319-34113-2, SBN 978-3-319-34115-6 (eBook), DOI: 10.1007/978-3-319-34115-6.

 
 
 



 

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