IWFB 2013 - International Workshop on 3D Face Biometrics

Advances during the last decades have made high quality acquisition of 3D faces a reality. 3D scanning devices are now available not only in the form of Hi-res scanner which are able to acquire registered texture and range data from static environments but also 4D scanning devices that are able to acquire range data over time so as to capture the dynamics of 3D. In the meantime, much progress has been achieved in 3D face analysis and recognition methods, albeit in very controlled settings. Some topics, however, have yet to be thoroughly explored. On the one hand, the availability of Hi-res data from the environment is expected to boost the accuracy of recognition systems. On the other hand, the availability of a broad range of devices, differing in terms of resolution, poses new challenges and research issues addressing not only the impact of low resolution data on the recognition accuracy but also the integration and combination of different modalities - 2D still, 2D video, 3D still, 3D video -to improve the recognition accuracy. Furthermore, it has been shown that "soft" biometrics (gender, age, ethnicity, etc.) can complement the identity information provided by other biometrics to improve the accuracy of recognition. This workshop focuses on 3D face analysis and recognition and is particularly aimed at exploring ways to extract and effectively exploit still as well as dynamic facial features for recognition. Areas of coverage include, but are not limited to, 3D face detection, analysis, and recognition; gender, ethnicity and age classification from 3D data; analysis of facial expressions; multimodal 2D/3D face recognition; super-resolution facial models.
Topics of interest
3D Face recognition
3D Face detection
Gender/ethnicity Classification
Age estimation
Analysis of facial expressions
2D+3D and multi-modal face recognition
Matching partial or deformed 3D face scans
Person recognition in images and videos using 3D face models
3D facial behaviors
Dynamic 3D face processing and analysis
Super-resolution models for 3D faces
Indexing and management of large 3D face datasets