PIERRE BIASUTTI
PhD STUDENT IN IMAGE PROCESSING
I'm currently in my second year as a PhD student at LaBRI (Image and Sound Team - Pictura group) and IMB of Bordeaux, under the direction of Dr. Aurélie Bugeau and Pr. Jean-François Aujol.
My research interests mainly concern Image Processing and Computer Vision, specially patch-based methods and variational methods. I'm currently working on LiDAR point cloud completion, segmentation and colorization as well as image inpainting in partnership with the IGN under the supervision of Dr. Mathieu Brédif.
International Journals
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Diffusion and inpainting of reflectance and height LiDAR orthoimages
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
CVIU Computer Vision and Image Understanding. (2019)
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Range-Image: Incorporating sensor topology for LiDAR point clouds processing
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
PE&RS Photogrammetric Engineering & Remote Sensing. (2018)
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Joint inpainting of depth and reflectance with visibility estimation
Marco Bevilacqua, Jean-François Aujol, Pierre Biasutti, Mathieu Brédif, Aurélie Bugeau
ISPRS Journal of Photogrammetry and Remote Sensing. (2017)
International Conferences
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Visibility estimation in point clouds with variable density
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
VISAPP, International Conference on Computer Vision Theory and Applications. Prague, Czech Republic, (2019)
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Disocclusion of 3D LiDAR point clouds using range images
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
ISPRS Annals of Photogrammetry and Remote Sensing. Hannover, Germany (2017)
National Conferences
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Estimation de visibilité dans un nuage de points LiDAR
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
CFPT Conférence Française de Photogrammétrie et de Télédétection. Marne-la-Vallée, France (2018)
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Désoccultation de nuage de points LiDAR en topologie capteur
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
GRETSI Groupement de Recherche en Traitement du Signal et de l'Image. Juan-Les-Pins, France (2017)
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Diffusion anisotrope et inpainting d'orthophotographies LiDAR mobile
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
RFIA Reconnaissance des Formes, Image, Apprentissage. Clermont-Ferrand, France (2016)
Preprints
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Fast Image and LiDAR alignment based on 3D rendering in sensor topology
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
Submitted to Patter Recognition Letters
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RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
Preprint
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Détection et localisation d'objets 3D par apprentissage profond en topologie capteur
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
Submitted to GRETSI 2019
Code / Dataset
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Point cloud visibility dataset
Pierre Biasutti, Jean-François Aujol, Mathieu Brédif, Aurélie Bugeau
Dataset for the estimation of the visibility of points given a viewpoint
(2018)