Accurate 3D head pose estimation under real-world driving conditions : a pilot study
- Reliable and accurate car driver head pose estimation is an important function for the next generation of advanced driver assistance systems that need to consider the driver state in their analysis. For optimal performance, head pose estimation needs to be non-invasive, calibration-free and accurate for varying driving and illumination conditions. In this pilot study we investigate a 3D head pose estimation system that automatically fits a statistical 3D face model to measurements of a driver’s face, acquired with a low-cost depth sensor on challenging real-world data. We evaluate the results of our sensor-independent, driver-adaptive approach to those of a state-of-the-art camera-based 2D face tracking system as well as a non-adaptive 3D model relative to own ground-truth data, and compare to other 3D benchmarks. We find large accuracy benefits of the adaptive 3D approach.
| Author of HS Reutlingen | Curio, Cristóbal |
|---|---|
| DOI: | https://doi.org/10.1109/ITSC.2016.7795719 |
| Erschienen in: | IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) Windsor Oceanico Hotel, Rio de Janeiro, Brazil, November 1-4, 2016 |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2016 |
| Page Number: | 8 |
| First Page: | 1261 |
| Last Page: | 1268 |
| DDC classes: | 620 Ingenieurwissenschaften und Maschinenbau |
| Open access?: | Nein |
| Licence (German): |  In Copyright - Urheberrechtlich geschützt |
