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The team ~ Guillaume Perrin Wednesday, November 22nd 2017, 00:19

Guillaume Perrin

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Former PhD Student, MESR / Ecole Centrale Paris

motcle Keywords : Stochastic Geometry, MCMC, Parameter Estimation, Object extraction, Trees / Forest
projets Project : Mode de Vie
demos Demos : see this author's demos
plus Contact :

Mail :GuillaumedotPerrinatinriadotfr
Phone :(33)4-92-38-78-66
Fax :(33)4-92-38-76-43
Postal adress :INRIA Sophia Antipolis
2004, route des Lucioles
06902 Sophia Antipolis Cedex
France
Webpage :visit !
photo

plus Abstract :

I am working on tree crown extraction in french forests using marked point processes. This PhD Thesis is co-directed with MAS Laboratory of Ecole Centrale Paris.

Aerial and satellite imagery has a key role to play in natural resource management, especially in forestry application. The submetric resolution of the data enables to study forests at the scale of trees, and opens up new prospects to inventories in their will to get accurate assessment of the resources, with some automatic algorithms when possible. My PhD Thesis is about developping an object-based method to extract tree crowns from high resolution aerial Color Infrared images (CIR) of forests.

Our approach consists in modelling the trees in the forestry images as random configurations of ellipses or ellipsoids, whose points are the positions of the stems and marks their geometric features. The goal is to find the best configuration of objects, from which 2D and 3D vegetation resource parameters can be extracted. The French National Forest Inventory (IFN) provides us the data (aerial photographs).

plus Short Bio :

plus 2003-2006 : PhD Thesis, Project Ariana (INRIA Sophia Antipolis) / MAS Laboratory (ECP)
plus 2002-2003 : Master Mathematiques Vision Apprentissage (ENS Cachan)
plus 2000-2003 : Ecole Centrale Paris

plus Main publications :
2D and 3D Vegetation Resource Parameters Assessment using Marked Point Processes.
G. Perrin and X. Descombes and J. Zerubia. In Proc. International Conference on Pattern Recognition (ICPR), Hong-Kong, August 2006.
Keywords : Data energy, Object extraction, Tree Crown Extraction, Stochastic geometry, Marked point process.
Adaptive Simulated Annealing for Energy Minimization Problem in a Marked Point Process Application.
G. Perrin and X. Descombes and J. Zerubia. In Proc. Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), St Augustine, Florida, USA, November 2005.
Keywords : Simulated Annealing, Marked point process, Stochastic geometry, MAP estimation, RJMCMC.
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