Biblio
Deep Learning Parametrization for B-Spline Curve Approximation.
2018 International Conference on 3D Vision (3DV). 691–699.
0109.pdf (675.91 KB)
(2018). 
Image Inpainting for High-Resolution Textures using CNN Texture Synthesis.
Computer Graphics & Visual Computing (CGVC).
gcvc18.pdf (5.73 MB)
(2018). 
Learnt knot placement in B-spline curve approximation using support vector machines.
Computer Aided Geometric Design. 62, 104–116.
GMP18.pdf (865.85 KB)
(2018). 
Evaluation of features for SVM-based classification of geometric primitives in point clouds.
Machine Vision Applications (MVA), 2017 Fifteenth IAPR International Conference on. 59–62.
paper.pdf (1.5 MB)
(2017). 
Radiometric calibration of digital cameras using neural networks.
Optics and Photonics for Information Processing XI.
(2017). A short survey on recent methods for cage computation.
BW-CAR| SINCOM. 37.
cagesurvSinCom.pdf (444.89 KB)
(2016). 
Pixel-wise Hybrid Image Registration on Wood Decors.
BW-CAR| SINCOM. 24.
Grunwald_2015_Pixel-wiseHybridImageRegistration.pdf (2.42 MB)
(2015). 
Support Vector Machines for Classification of Geometric Primitives in Point Clouds.
(Boissonnat, J-D., Cohen A., Gibaru O., Gout C., Lyche T., Mazure M-L., et al., Ed.).Curves and Surfaces, 8th International Conference, Paris 2014. 80-95.
Caputo et al_2015_Support vector machines for classification of geometric primitives in point clouds.pdf (2.64 MB)
(2015). 
A Virtual-Reality 3d-Laser-Scan Simulation.
BW-CAR| SINCOM. 68.
(2015). Learning geometric primitives in point clouds.
Symposium on Geometry Processing, Cardiff 2014.
Caputo et al_2014_Learning geometric primitives in point clouds.pdf (630.12 KB)
(2014). 
Merging multiple 3d face reconstructions.
(Benyoucef, D., & Reich C., Ed.).Symposium on Information and Communication Systems. 7-12.
Merging3DFaceReconst.pdf (12.91 MB)
(2014). 