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» A 2D model for face superresolution
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ICPR
2008
IEEE
14 years 1 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind
ECCV
2006
Springer
14 years 8 months ago
Super-Resolution of 3D Face
Abstract. Super-resolution is a technique to restore the detailed information from the degenerated data. Lots of previous work is for 2D images while super-resolution of 3D models ...
Gang Pan, Shi Han, Zhaohui Wu, Yueming Wang
ICIP
2005
IEEE
14 years 8 months ago
Learning-based super-resolution of 3D face model
Super resolution technique could produce a higher resolution image than the originally captured one. However, nearly all super-resolution algorithms aim at 2D images. In this pape...
Shiqi Peng, Gang Pan, Zhaohui Wu
ISBI
2006
IEEE
14 years 7 months ago
Automated super-resolution detection of fluorescent rods in 2D
We describe a method designed to detect fluorescent rods from 2D microscopy images. It is motivated by the desire to study the dynamics of bacteria such as Shigella. The methodolo...
Bo Zhang, Jost Enninga, Jean-Christophe Olivo-Mari...
IJCV
2007
328views more  IJCV 2007»
13 years 6 months ago
2D vs. 3D Deformable Face Models: Representational Power, Construction, and Real-Time Fitting
Model-based face analysis is a general paradigm with applications that include face recognition, expression recognition, lip-reading, head pose estimation, and gaze estimation. A f...
Iain Matthews, Jing Xiao, Simon Baker