Title
Reconstructing high-resolution face models from Kinect depth sequences acquired in uncooperative contexts
Abstract
Performing face recognition across 3D scans of different resolution is now attracting an increasing interest thanks to the introduction of a new generation of depth cameras, capable of acquiring color/depth images over time. However, these devices have still a much lower resolution than the 3D high-resolution scanners typically used for face recognition applications. If data are acquired without user cooperation, the problem is even more challenging and the gap of resolution between probe and gallery scans can yield to a severe loss in terms of recognition accuracy. Based on these premises, we propose a method to build a higher-resolution 3D face model from 3D data acquired by a low-resolution scanner. This face model is built using data acquired when a person passes in front of the scanner, following an uncooperative protocol. To perform non-rigid registration of point sets and account for deformation of the face during the acquisition process, the Coherent Point Drift (CPD) method is used. Registered 3D data are filtered through a variant of the lowess method to remove outliers and build the final face model. The proposed approach is evaluated in terms of accuracy of face reconstruction and face recognition.
Year
DOI
Venue
2015
10.1109/FG.2015.7284882
2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)
Keywords
Field
DocType
3D data filtering,CPD method,coherent point drift,point set nonrigid registration,user cooperation,face recognition,Kinect depth sequence,high-resolution face model reconstruction
Iterative reconstruction,Facial recognition system,Computer vision,Computer science,Outlier,Scanner,Solid modeling,Artificial intelligence,User interface,Image resolution,Image registration
Conference
Volume
Citations 
PageRank 
07
0
0.34
References 
Authors
20
4
Name
Order
Citations
PageRank
Enrico Bondi170.74
Pietro Pala2123991.64
Stefano Berretti388052.33
Alberto Del Bimbo43777420.44