CV

Education

(2012) Ph. D in Signal and Image Processing, Ecole Centrale de Nantes. Conception conjointe optique/traitement pour imageur compact à capacité 3D

Supervisors : F. Champagnat and G. Le Besnerais (ONERA/DTIS/IVA)

Director : J. Idier (LS2N)

(2009) Master Degree in Optical Engineering at the Institut d’Optique Graduate School

Work experience

(Since 2012) Engineer of research at ONERA in the Information Processing Department (DTIS) and the research unit Image Volume and Learning (IVA)

Skills

Image processing, optical design, end-to-end design

Publications

Depth estimation using chromatic aberration and a depth from defocus approach

P. Trouvé, F. Champagnat, J. Sabater, T. Avignon, G. Le Besnerais and J. Idier, Depth estimation using chromatic aberration and a depth from defocus approach, Applied Optics, 53, 2013

Theoretical performance model for single image depth from defocus

P. Trouvé-Peloux, F. Champagnat, G. Le Besnerais and J. Idier, Theoretical performance model for single image depth from defocus, JOSAA, 31, 2014.

Turning a conventional camera into a 3D camera with an add-on

P. Trouvé-Peloux, J. Sabater, A. Bernard-Brunel, F. Champagnat, G. Le Besnerais and T. Avignon, Turning a conventional camera into a 3D camera with an add-on, Applied Optics, 57, 2018.

Learning scene and blur model for active chromatic

B. Buat, P. Trouvé-Peloux, F. Champagnat, G. Le Besnerais, Learning scene and blur model for active chromatic depth from defocus, Applied Optics, 60, 2021

Performance model of depth from defocus with an unconventional camera

P. Trouvé-Peloux, F. Champagnat, G. Le Besnerais, G. Druart and J. Idier, Performance model of depth from defocus with an unconventional camera, 38, 2021

Pix2Point: learning outdoor 3D using sparse point clouds and optimal transport

R. Leroy, B. Le Saux, P. Trouvé-Peloux, F. Champagnat, Pix2Point: learning outdoor 3D using sparse point clouds and optimal transport, MVA, 2021

End-to-end sensor and neural network design using differential ray tracing

A. Halé, P. Trouvé-Peloux, J.-B. Volatier, End-to-end sensor and neural network design using differential ray tracing, 29, Optics Express, 2021

Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing

P. Trouvé-Peloux, B. Abeloos, A. Ben Fekih, C. Trottier, J.-M. Roche, Benefit of neural network for the optimization of defect - Detection on composite material using ultrasonic non destructive testing, QNDE 2021

Learning local depth regression from defocus blur by soft-assignment encoding

R. Leroy, P. Trouvé-Peloux, B. Le Saux, B. Buat, F. Champagnat, Learning local depth regression from defocus blur by soft-assignment encoding, Applied Optics, 61 (29),2022

Deblur or denoise: the role of an aperture in lens and neural network co-design

M. Dufraisse, P. Trouvé-Peloux, J.-B. Volatier,F. Champagnat, Deblur or denoise: the role of an aperture in lens and neural network co-design, Optics Letters, vol. 48, 2, 2023

Pauline Trouvé-Peloux

CV