Title
Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model
Abstract
This paper proposes a method for reconstructing partially damaged faces based on a morphable face model. Faces are modeled by linear combinations of prototypes of shape and texture. With the shape and texture information from an undamaged region only, we can estimate optimal coefficients for linear combinations of prototypes of shape and texture by simple projection for least-square minimization (LSM). Our experimental results show that reconstructed faces are very natural and plausible like real photos.
Year
DOI
Venue
2003
10.1109/TPAMI.2003.1182099
IEEE Trans. Pattern Anal. Mach. Intell.
Keywords
Field
DocType
reconstructed face,linear combination,morphable face model,texture information,real photo,partially damaged face,optimal coefficient,simple projection,least-square minimization,undamaged region,indexing terms,vectors,least square,noise shaping,principal component analysis,minimisation,degradation,prototypes,face detection,shape,pixel,image reconstruction
Iterative reconstruction,Computer vision,Linear combination,Pattern recognition,Computer science,Noise shaping,Minification,Minimisation (psychology),Artificial intelligence,Pixel,Face detection,Principal component analysis
Journal
Volume
Issue
ISSN
25
3
0162-8828
Citations 
PageRank 
References 
62
3.09
6
Authors
2
Name
Order
Citations
PageRank
Bon-Woo Hwang117716.33
Seong-Whan Lee23756343.90