Paper Info
Title
3D Face Reconstruction from Stereo Video
Abstract
Face processing in video is receiving substantial attention due to its importance in many securityrelated applications. A video provides rich information about a face (multiple frames and temporal coherence) that can be utilized in conjunction with 3D face models, if available, to establish a subject's identity. We propose a 3D face modeling method that reconstructs a user-specific model derived from a generic 3D face model and two video frames of the user. The user-specific 3D face model can be enrolled into the 3D face database at the enrollment stage to be used in later identification process. The reconstruction process can also be used for the probe data in recognition stage, where the reconstructed 3D face model using probe face is used to generate an optimal view and lighting for the recognition process. The advantage of utilizing reconstructed 3D face model is demonstrated by conducting face recognition experiments for 15 probe subjects against a gallery database containing 100 subjects.
Year
DOI
Venue
2006
10.1109/CRV.2006.1
CRV
Keywords
Field
DocType
face reconstruction,probe data,probe subject,face modeling method,face database,user-specific model,face processing,stereo video,probe face,face model,face recognition experiment,later identification process,face recognition,image sensors,face detection,databases,computer science,coherence,image reconstruction,application software,robustness
Iterative reconstruction,Computer vision,Facial recognition system,Pattern recognition,Three-dimensional face recognition,Image sensor,Object-class detection,Computer science,Robustness (computer science),Artificial intelligence,Face detection,Application software
Conference
ISBN
Citations 
PageRank 
0-7695-2542-3
10
0.54
References 
Authors
12
2
Name
Order
Citations
PageRank
Unsang Park181536.32
Anil Jain2335073334.84