Hallucinating 3d faces

Authors:
Shiqi Peng;Gang Pan;Shi Han;Yueming Wang
Affiliations:
Dept. of Computer Science, Zhejiang University, Hangzhou, China;Dept. of Computer Science, Zhejiang University, Hangzhou, China;Dept. of Computer Science, Zhejiang University, Hangzhou, China;Dept. of Computer Science, Zhejiang University, Hangzhou, China
Venue:
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Year:
2006

Citing 10
Cited 0

Mesh optimization

SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Multiresolution analysis of arbitrary meshes

SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Parametrization and smooth approximation of surface triangulations

Computer Aided Geometric Design
MAPS: multiresolution adaptive parameterization of surfaces

Proceedings of the 25th annual conference on Computer graphics and interactive techniques
A morphable model for the synthesis of 3D faces

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Multiresolution mesh morphing

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Consistent mesh parameterizations

Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Numerical algorithms for image superresolution

Numerical algorithms for image superresolution
A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur

IEEE Transactions on Image Processing
Super-resolution of images based on local correlations

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Super resolution technique could produce a higher resolution image than the originally captured ones. However, a few works have been done in 3D models. In this paper, we focus on generating the 3D face model of higher resolution from one input of 3D face model. In our method, the 3D face models including the training samples and input model are remeshed to construct consistent mesh to find out the correspondence among the models. The super resolution then is performed in the remeshed models to reconstruct the high resolution model. The experiments using USF HumanID 3D face database of 100 3D face models are carried out, and demonstrate the presented algorithm is promising.