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Christophe Lohou

dblp:03/1 · DBLP profile ↗
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9ranked-venue papers
6as first author
1since 2021 · last 2021
0000-0001-5352-8237ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 5 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 since 2021Theory of computation · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Image and video processing · 42% Geometric modeling and processing · 33% Computational photography and imaging · 25%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › mathematical morphology
3d thinning
0.112010
Automatic Correction of Ma and Sonka's Thinning Algorithm Using P-Simple Points · IEEE Trans. Pattern Anal. Mach. Intell. 2010
Geometric modeling and processing › shape analysis
topology preservation
0.112010
Automatic Correction of Ma and Sonka's Thinning Algorithm Using P-Simple Points · IEEE Trans. Pattern Anal. Mach. Intell. 2010
Computer vision › 3D vision
camera calibration
0.112008
Automatic calibration of a single-projector catadioptric display system · CVPR 2008
Computational photography and imaging
projector-camera systems
0.112008
Automatic calibration of a single-projector catadioptric display system · CVPR 2008
Image and video processing › mathematical morphology › thinning
parallel thinning
0.012010
Automatic Correction of Ma and Sonka's Thinning Algorithm Using P-Simple Points · IEEE Trans. Pattern Anal. Mach. Intell. 2010
Computer vision › 3D vision
3d reconstruction
0.012008
Automatic calibration of a single-projector catadioptric display system · CVPR 2008
Computer vision › 3D vision
3d scene reconstruction
0.012008
Automatic calibration of a single-projector catadioptric display system · CVPR 2008

Methods — techniques the papers use, named apart from their topics

extrinsic parameter refinement · 0.2central approximation · 0.2p-simple points · 0.1
YearPublicationVenuePosition
2021 Presentation of a mixed reality software with a HoloLens headset for a nutrition workshop
abstract
Microsoft has recently released a mixed reality headset called HoloLens. This semi-transparent visor headset allows the user who wears it to view the projection of 3D virtual objects placed in its real environment. The user can also grasp these 3D objects, which can also interact with each other. The framework of this new technology taking into account this physical approach (interactions, collisions) is called mixed reality . We had the opportunity to digitally transform a conventional nutrition workshop for patients waiting for bariatric surgery by designing a mixed reality software using the HoloLens headset. This software is called HOLO_NUTRI. In this paper, we present this software and its assessment (acceptance of this technology) by a cohort of thirty patients.
Hugo Rositi, Owen Kevin Appadoo, Daniel Mestre, Sylvie Valarier, Marie-Claire Ombret, Émilie Gadea-Deschamps, Christine Barret-Grimault, Christophe Lohou
Multim. Tools Appl.8
2010 Detection of the non-topology preservation of Ma and Sonka's algorithm, by the use of P-simple points
Christophe Lohou
Comput. Vis. Image Underst.1
2010 Automatic Correction of Ma and Sonka's Thinning Algorithm Using P-Simple Points
abstract
Ma and Sonka proposed a fully parallel 3D thinning algorithm which does not always preserve topology. We propose an algorithm based on P-simple points which automatically corrects Ma and Sonka's algorithm. As far as we know, our algorithm is the only fully parallel curve thinning algorithm which preserves topology.
Christophe Lohou, Julien Dehos
IEEE Trans. Pattern Anal. Mach. Intell.1
2008 Automatic calibration of a single-projector catadioptric display system
abstract
We describe the calibration of a catadioptric omnidirectional video projection system that adjusts its projection to the geometry of any scene by means of a rotating camera. Correction of geometric distortions requires 3D reconstruction of the scene. A camera is used to detect projected point features and calibration is performed in three successive steps: precalibration of camera assuming pure rotation, precalibration of catadioptric projector under central approximation and calibration of the global system, by minimizing the squared distance between the reflected and perceived rays, and by relaxing previous constraints, to refine values of extrinsic parameters. Simulation is used to validate estimated values of parameters and distance between the 3D reconstruction of the projection room and its expected geometry. Influence of noise in detected point coordinates is studied and preliminary results for the reconstruction and projection in real conditions are reported.
Benjamin Astre, Laurent Sarry, Christophe Lohou, Eric Zeghers
CVPR3
2008 Detection of the non-topology preservation of Ma's 3D surface-thinning algorithm, by the use of P-simple points
Christophe Lohou
Pattern Recognit. Lett.1
2007 Two symmetrical thinning algorithms for 3D binary images, based on P-simple points
Christophe Lohou, Gilles Bertrand 0001
Pattern Recognit.1
2005 A 3D 6-subiteration curve thinning algorithm based on P-simple points
Christophe Lohou, Gilles Bertrand 0001
Discret. Appl. Math.1
2004 A 3D 12-subiteration thinning algorithm based on P-simple points
Christophe Lohou, Gilles Bertrand 0001
Discret. Appl. Math.1
1999 Liver Blood Vessels Extraction by a 3-D Topological Approach
Petr Dokládal, Christophe Lohou, Laurent Perroton, Gilles Bertrand 0001
MICCAI2