Face Sketch Synthesis Algorithm Based on E-HMM and Selective Ensemble

Authors:
Xinbo Gao;Juanjuan Zhong;Jie Li;Chunna Tian
Affiliations:
Xidian Univ., Xi'an;-;-;-
Venue:
IEEE Transactions on Circuits and Systems for Video Technology
Year:
2008

Citing 0
Cited 6

A new approach for face recognition by sketches in photos

Signal Processing
Rotation invariant iris feature extraction using Gaussian Markov random fields with non-separable wavelet

Neurocomputing
Photo-sketch synthesis and recognition based on subspace learning

Neurocomputing
Lighting and pose robust face sketch synthesis

ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Heterogeneous image transformation

Pattern Recognition Letters
A Comprehensive Survey to Face Hallucination

International Journal of Computer Vision

Quantified Score

Hi-index	0.00

Visualization

Abstract

Sketch synthesis plays an important role in face sketch-photo recognition system. In this manuscript, an automatic sketch synthesis algorithm is proposed based on embedded hidden Markov model (E-HMM) and selective ensemble strategy. First, the E-HMM is adopted to model the nonlinear relationship between a sketch and its corresponding photo. Then based on several learned models, a series of pseudo-sketches are generated for a given photo. Finally, these pseudo-sketches are fused together with selective ensemble strategy to synthesize a finer face pseudo-sketch. Experimental results illustrate that the proposed algorithm achieves satisfactory effect of sketch synthesis with a small set of face training samples.