Understanding 2D sketches and images in order to vectorize and reconstruct them in 3D
to help novice users to design virtual objects on augmented reality context.
Understanding 3D human motion and inferring pathology from it.
Here there is my CV and my profil LinkedIn is here.
Publications
Extracting Geometric Structures in Images with Delaunay Point Processes
Favreau J.D., Lafarge F., Bousseau A., Auvolat A. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
[paper, bibtex]
Photo2ClipArt: Image Abstraction and Vectorization Using Layered Linear Gradients
Favreau J.D., Lafarge F., Bousseau A. ACM Transactions on Graphics (SIGGRAPH Asia Conference Proceedings), Bangkok, TH, 2017
[paper, supp, bibtex, talks, video]
Fidelity vs. Simplicity a Global Approach to Line Drawing Vectorization
Favreau J.D., Lafarge F., Bousseau A. ACM Transactions on Graphics (SIGGRAPH Conference Proceedings), Anaheim, US, 2016
[paper, supp, bibtex, talks, binary]
Line Drawing Interpretation in a Multi-View Context
Favreau J.D., Lafarge F., Bousseau A. Proc. of the IEEE conference on Computer Vision and Pattern Recognition (CVPR), Boston, US, 2015
[paper, supp, bibtex, poster, dataset]
Thesis
Compact image vectorization by stochastic approaches
Favreau J.D. Université Côte d'Azur, Sophia Antipolis, FR, 15th March 2018
[thesis, talks]