Lourdes Agapito

Lourdes de Agapito Vicente is the Professor of 3D Vision in the department of computer science at University College London (UCL) where she leads a research group with a focus on 3D dynamic scene understanding from video.[2] Agapito is an elected member of the Executive Committee of the British Machine Vision Association.[3] Furthermore, she is the co-founder of the software company Synthesia.[4]

Lourdes Agapito
Scientific career
Institutions
ThesisEstrategias de correspondencia jerárquica y métodos directos de autocalibración para un sistema estereoscópico binocular[1] (1996)
Doctoral advisorMaría Teresa de Pedro Lucio
Websitewww0.cs.ucl.ac.uk/staff/L.Agapito/

Education and career

Agapito received her Ph.D. degree in computer science from the Universidad Complutense de Madrid, Spain in 1996. She was a postdoctoral fellow in the Active Vision Lab in the Robotics Research Group at the University of Oxford from 1997 to 2000. She was awarded an EU Marie Curie Postdoctoral Research Fellowship between 1997 and 1999.[5] In 2001, she became a lecturer at Queen Mary University of London, in 2007 a Senior Lecturer, and in 2011 a Reader in Computer Vision.[6] In 2008, she received an ERC Starting Independent Researcher Grant for the HUMANIS (Human Motion Analysis from Image Sequences) project. In 2013, Prof. Agapito joined the Computer Science Department at University College London. In 2017, she co-founded the software company Synthesia which offers content creation tools that include video synthesis.[7][8]Agapito is an elected member of the Executive Committee of the British Machine Vision Association, a member of the Vision and Imaging Science group and the Centre for Inverse Problems.[9]

Research

Her major research interests are in computer vision. In particular, her research focusses on inferring 3D information from videos recorded from a single moving camera. Agapito's early research focused on static scenes (structure from motion) but moved on to the challenging problem of estimating the 3D shape of moving non-rigid objects ("non-rigid structure from motion"). She has published numerous works on non-rigid structure from motion for deformable tracking, dense optical flow estimation, non-rigid video registration, 3D reconstruction of deformable and articulated structure, and dense 3D modelling of non-rigid dynamic scenes.[10][11]

Selected awards

References
  1. "PhD Thesis Lourdes Agapito" (in Spanish). Retrieved 8 March 2020.
  2. "University College London - Department of Computer Science". Retrieved 10 March 2020.
  3. "The Executive Committee of the BMVA". British Machine Vision Association. Retrieved 8 March 2020.
  4. "Synthesia". Retrieved 10 March 2020.
  5. "Active Vision Laboratory". Retrieved 8 March 2020.
  6. "UCL Institutional Research Information Service". Retrieved 8 March 2020.
  7. "Reuters and Synthesia unveil AI prototype for automated video reports". Thomson Reuters. 7 February 2020. Retrieved 8 March 2020.
  8. "Dubbing is coming to a small screen near you". The Economist Group Limited. 21 December 2019. Retrieved 8 March 2020.
  9. "Women Leading Visual Tech: Lourdes Agapito On Synthetic Media". LDV Capital. 2020-08-06. Retrieved 2023-07-11.
  10. "Prof. Lourdes Agapito". University College London. Retrieved 8 March 2020.
  11. "BMVA News" (PDF). Vol. 27, no. 3. British Machine Vision Association and Society for Pattern Recognition. March 2017. Retrieved 8 March 2020.
  12. "The British Machine Vision Conference (BMVC)". British Machine Vision Association and Society for Pattern Recognition. Retrieved 8 March 2020.
  13. "European Research Grants". Retrieved 8 March 2020.
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