Paper Info
Title
3D Model-Assisted Face Recognition in Video
Abstract
Face recognition in video has gained wide attention as a covert method for surveillance to enhance security in a variety of application domains (e.g., airports). A video contains temporal information as well as multiple instances of a face, so it is expected to lead to better face recognition performance compared to still face images. However, faces appearing in a video have substantial variations in pose and lighting. These pose and lighting variations can be effectively modeled using 3D face models. Combining the advantages of 2D video and 3D face models, we propose a face recognition system that identifies faces in a video. Thesystem utilizes the rich information in a video and overcomes the pose and lighting variations using 3D face model. The description of the proposed method and preliminary results are provided.
Year
DOI
Venue
2005
10.1109/CRV.2005.2
CRV
Keywords
Field
DocType
application domain,temporal information,face recognition,model-assisted face recognition,face recognition system,covert method,rich information,better face recognition performance,multiple instance,face model,security,computer security,application software,image reconstruction,computer science,information security
Facial recognition system,Computer vision,Pattern recognition,Three-dimensional face recognition,Object-class detection,Computer science,Information security,Covert,Video tracking,Artificial intelligence,Face detection,Application software
Conference
ISBN
Citations 
PageRank 
0-7695-2319-6
23
1.06
References 
Authors
7
3
Name
Order
Citations
PageRank
Unsang Park181536.32
Hong Chen225915.80
Anil Jain3335073334.84