Guillermo Gallego Bonet

Ph.D. in Electrical and Computer Engineering
from The Georgia Institute of Technology.

Contact information:

Grupo de Tratamiento de Imágenes
Universidad Politécnica de Madrid
Avda. Complutense 30.
Madrid, 28040. Spain

E-mail: ggb {at} gti.ssr.upm.es

Versión en español / Spanish version
Profiles:
SMARTech
ORCID (Open Researcher and Contributor ID)
Dr. Gallego was born in Ávila, Spain. He received primary and secondary education (Spanish Bachillerato and COU) at the School "Sagrado Corazón de Jesús" (Madrid), from 1986 to 1998. He majored in Telecommunications Engineering (five-year engineering program) in 2004 at the E.T.S. Ingenieros de Telecomunicación of the Universidad Politécnica de Madrid. From 2001 to 2005 he collaborated with the Grupo de Tratamiento de Imágenes (GTI) at the ETSIT-UPM. He earned a Master of Mathematical Engineering (Magíster en Ingeniería Matemática) from the Universidad Complutense de Madrid in July 2005. He received a Fulbright Scholarship (Spanish program) to pursue doctoral studies at The Georgia Institute of Technology, beginning August 2005, in the School of Electrical and Computer Engineering. At this institution, he graduated from the Master of Science in Electrical and Computer Engineering (2007), Master  of  Science in  Mathematics (2009), and Ph.D.  in Electrical and Computer Engineering (2011). His Ph.D. thesis advisors were Dr. Yezzi (who leads the Lab. of Computational Computer Vision [LCCV]) and Dr. Fedele. Since 2011, he is a Marie-Curie Postdoctoral Researcher at the Universidad Politécnica de Madrid.
 

Research interests: signal processing, computer vision, geometry, optimization, numerical methods, variational calculus, PDEs, control theory, ocean engineering.

Research cooperation:

  • Research internship at Telefonica Research and Development, Barcelona. (Graduate co-op program at The Georgia Institute of Technology, 2009).
    Project “Videosurfing”. Design and implementation of a video-to-3D reconstruction system. www.videostruct.com

  • Research assistant. Laboratory of Computational Computer Vision (LCCV), Georgia Institute of Technology. 2006-2010.
    • Project: NSF Award #0133736. CAREER: Unifying Segmentation and Other Image Processing Problems via Variational PDE's.
    • Visiting researcher at CINECA, Bologna (Italy), within the High Performance Computing Europa Project. (2008)

  • Collaborator with the Grupo de Tratamiento de Imágenes (GTI) which is part of the Signals, Systems and Radiocommunications Department (Departamento de Señales, Sistemas y Radiocomunicaciones - SSR) at the Escuela Técnica Superior de Ingenieros de Telecomunicación (ETSIT), Universidad Politécnica de Madrid (UPM), since July 2001:
    • Internship (practical training) from July 2001 to September 2001, at the same time that collaborator in research IST project 1999-10576 VISIRE (Virtual Image-Processing System for Intelligent Reconstruction of 3D Environments), as part of the Fifth European Union Framework Programme for Research and Technological Development.
    • Collaboration in research project TIC2001–3069: “Acquisition and representation of 3-D scenes for virtual reality applications” (Adquisición y representación de escenas 3D para aplicaciones de realidad virtual), part of the National Information Technology and Communications Program (Programa Nacional de Tecnologías de la Información y las Comunicaciones - TIC) of the Spanish Science and Technology Department, since October 2001.
    • Received a scholarship for the aforementioned project TIC2001–3069 after the completion of the bachelor's coursework, from July 2003 to June 2004.
 

Scientific publications.

Paper preprints at Archivo digital UPM (repository).

Thesis:

  • “Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves”
    Gallego G.
    Ph.D. Thesis. Georgia Institute of Technology. May 2011. Advisors: Dr. Yezzi and Dr. Fedele.
    See also the repository at SMARTech (Georgia Tech Theses and Dissertations), which contains the PDF file with the thesis and some related videos.

    Left: Images from one of the two calibrated cameras and region of interest to be reconstructed. Right: 3-D reconstructed surface shape of the ocean waves, pseudocolored from blue (low height) to red (large height).
    Input stereo images, acquired at a framerate of 10Hz, are of size 1624 x 1236 pixels.
    Parameters of the region of interest. Physical area covered: 13 x 13 squared meters. Grid size: 513x513 points. Grid resolution: 2.5 cm.

    Surface texture (left) and shape (right) given by the variational 3-D reconstruction method of Gallego et al. for the robust 3-D stereoscopic reconstruction of ocean waves from multi-view stereo videos.
    Right: surface shape (height) is greyscale encoded: dark means low wave height (troughs) and bright means large wave height (crests).

    Modeled images (within the region of interest) superimposed on the original images. Modeled images are generated using the surface shape (height) and radiance (texture) computed by the variational graph method for the robust 3-D stereoscopic reconstruction of ocean waves from multi-view stereo videos.

    Modeled images (within the region of interest) superimposed on the original images. Modeled images are generated using the surface shape (height) and radiance (texture) computed by the variational method of Gallego et al. for the robust 3-D stereoscopic reconstruction of ocean waves from multi-view stereo videos. The reconstructed region has been clearly marked by modifying the intensities in the outside.

    Error images: absolute difference between original and modeled images within the region of interest, magnified by a factor of 4 to notice it.


  • "Sistema de autocalibración de cámaras y reconstrucción 3D" (Camera autocalibration and 3D reconstruction system)
    G. Gallego.
    Bachelor's thesis (in Telecommunications Engineering) completed within the project TIC2001-3069. Advisor: J.I. Ronda. February 2004.
    Copy at Archivo Digital UPM
    Summary (also in Spanish).

 

Articles:

 

Conferences:

 

Presentations:

Other scientific material:

Courses and academic collaboration:

  • At the Georgia Institute of Technology:
    • Lectured for ECE 6560 (Dr. Yezzi): PDE Methods in Computer Vision and Image Processing (2 semesters).
    • Graduate Teaching Assistant (Dr. Ingam) of the course ECE6601, Random Processes (Fall 2007).
  • Teamwork management working as monitor of several laboratories at the ETSIT (UPM):
    • Medical Signals & Imaging Lab (2003).
    • Electronic Communications Lab (2002).
    • Electrical Measurement Lab (2000).
 

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