Biblio
Deep Learning Parametrization for B-Spline Curve Approximation.
2018 International Conference on 3D Vision (3DV). 691–699. 0109.pdf (675.91 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). Image Inpainting for High-Resolution Textures using CNN Texture Synthesis.
Computer Graphics & Visual Computing (CGVC). gcvc18.pdf (5.73 MB)
(2018). 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). 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). Merging multiple 3d face reconstructions.
(Benyoucef, D., & Reich C., Ed.).Symposium on Information and Communication Systems. 7-12. Merging3DFaceReconst.pdf (12.91 MB)
(2014). Pixel-wise Hybrid Image Registration on Wood Decors.
BW-CAR| SINCOM. 24. Grunwald_2015_Pixel-wiseHybridImageRegistration.pdf (2.42 MB)
(2015). 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). 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).