TY  - CONF
AU  - Gemma Rotger
AU  - Francesc Moreno-Noguer
AU  - Felipe Lumbreras
AU  - Antonio Agudo
A2  - IbPRIA
PY  - 2019//
TI  - Single view facial hair 3D reconstruction
T2  - LNCS
BT  - 9th Iberian Conference on Pattern Recognition and Image Analysis
SP  - 423
EP  - 436
VL  - 11867
KW  - 3D Vision
KW  - Shape Reconstruction
KW  - Facial Hair Modeling
N2  - n this work, we introduce a novel energy-based framework that addresses the challenging problem of 3D reconstruction of facial hair from a single RGB image. To this end, we identify hair pixels over the image via texture analysis and then determine individual hair fibers that are modeled by means of a parametric hair model based on 3D helixes. We propose to minimize an energy composed of several terms, in order to adapt the hair parameters that better fit the image detections. The final hairs respond to the resulting fibers after a post-processing step where we encourage further realism. The resulting approach generates realistic facial hair fibers from solely an RGB image without assuming any training data nor user interaction. We provide an experimental evaluation on real-world pictures where several facial hair styles and image conditions are observed, showing consistent results and establishing a comparison with respect to competing approaches.
UR  - http://dx.doi.org/10.1007/978-3-030-31332-6_37
N1  - ADAS; 600.086; 600.130; 600.122
ID  - Gemma Rotger2019
ER  -