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» Optimal face reconstruction using training
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ICIAR
2009
Springer
14 years 25 days ago
An Example-Based Two-Step Face Hallucination Method through Coefficient Learning
Face hallucination is to reconstruct a high-resolution face image from a low-resolution one based on a set of high- and low-resolution training image pairs. This paper proposes an ...
Xiang Ma, Junping Zhang, Chun Qi
CVPR
2003
IEEE
14 years 8 months ago
Simultaneous Feature Selection and Classifier Training via Linear Programming: A Case Study for Face Expression Recognition
A linear programming technique is introduced that jointly performs feature selection and classifier training so that a subset of features is optimally selected together with the c...
Guodong Guo, Charles R. Dyer
CEC
2010
IEEE
13 years 7 months ago
Non-rigid 3D face shape reconstruction using a genetic algorithm
This paper proposes a method for reconstructing non-rigid 3D shapes from noisy 2D shapes. The proposed method estimates the 3D shape bases and projection matrices, exploiting low-r...
Jong-Min Park, Hyun-Chul Choi, Se-Young Oh
ECCV
2006
Springer
14 years 8 months ago
Towards Optimal Training of Cascaded Detectors
Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones [1]. In t...
S. Charles Brubaker, Matthew D. Mullin, James M. R...
ICIAP
2009
ACM
14 years 1 months ago
Hallucinating Faces: Global Linear Modal Based Super-Resolution and Position Based Residue Compensation
A learning-based face hallucination method is proposed in this paper for the reconstruction of a high-resolution face image from a low-resolution observation based on a set of high...
Xiang Ma, Junping Zhang, Chun Qi