D
David Rousseau
Researcher at University of Angers
Publications - 183
Citations - 2935
David Rousseau is an academic researcher from University of Angers. The author has contributed to research in topics: Stochastic resonance & Noise (signal processing). The author has an hindex of 24, co-authored 176 publications receiving 2374 citations. Previous affiliations of David Rousseau include University of Lyon & Institut national de la recherche agronomique.
Papers
More filters
Journal ArticleDOI
Image processing for precise three-dimensional registration and stitching of thick high-resolution laser-scanning microscopy image stacks.
TL;DR: A novel approach called 2D-SIFT-in-3D-Space using Scale Invariant Feature Transform (SIFT) to achieve robust three-dimensional matching of image substack registration and is demonstrated to be extendable to other types of data that share large dimensions and need of fine registration of multiple image substacks.
Journal ArticleDOI
Ornamental plants architectural characteristics in relation to visual sensory attributes: a new approach on the rose bush for objective evaluation of the visual quality.
Morgan Garbez,R. Symoneaux,Etienne Belin,Yves Caraglio,Yann Chéné,Nicolas Dones,Jean-Baptiste Durand,Gilles Hunault,D. Relion,M. Sigogne,David Rousseau,Gilles Galopin +11 more
TL;DR: In this paper, the authors used a recurrent blooming modern rose bush (Rosa hybrida ‘Radrazz’) presented in rotation using video stimuli to determine whether architectural components may be identified across different growing conditions and predict sensory attributes data characterizing multiple visual traits of the plants.
Journal ArticleDOI
The minimum description length principle for probability density estimation by regular histograms
TL;DR: The minimum description length principle is reviewed and provided and additional illustrative examples and an application to real-world data is provided, with a presentation emphasizing intuition and concrete arguments.
Journal ArticleDOI
On the value of the Kullback---Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands
Landry Benoit,Romain Benoit,Etienne Belin,Rodolphe Vadaine,Didier Demilly,François Chapeau-Blondeau,David Rousseau +6 more
TL;DR: The practical value of a criterion based on statistical information theory for the selection of optimal wavelength and bandwidth of low-cost lighting systems in plant imaging applications is demonstrated and the possibility to integrate technological constraints in the optimization of the spectral bands selected is offered.
Proceedings ArticleDOI
Robust real time motion compensation for intraoperative video processing during neurosurgery
Michaël Sdika,Laure Alston,Laurent Mahieu-Williame,Jacques Guyotat,David Rousseau,Bruno Montcel +5 more
TL;DR: A motion compensation method dedicated to intraoperative RGB video imaging in neurosurgery is presented and is as accurate as standard motion estimation method while being much faster and very robust to un-predicted events that can happen in the operative room.