The Face Recognition Algorithm Based on Curvelet Transform and CSVD

Shu-lin, Song; Zhang, Yan; Xian, Wang; Mu, Xin

doi:10.1007/978-3-642-25664-6_83

Cited by 1 publication

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“…Reference [6] provides a comparison between the use of PCA, LDA and a combination of both on the curvelet features extracted. SVD or CSVD can be used as a dimensionality reduction tool, instead of PCA, as in [3] and [4]. Instead of SVM or kNN classifier, [7] uses a Bayesian classifier "to reduce the number of misclassification caused by non-linearly separable classes".…”

Section: Introductionmentioning

confidence: 99%

Experiments on the LFW database using curvelet transforms and a random forest-kNN cascade

Kayal

2012

2012 Second International Conference on Digital Information Processing and Communications (ICDIPC)

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Successful recognition of faces from unconstrained complex images is absolutely essential for many biometrics and surveillance applications. This paper aims at exploring the use of the curvelet transform as a method of facial feature extraction and the use of the random forests as a successful classifier. The real value of this paper is its suggested use of a cascade of the random forest classifier with a nearest neighbour verifier.In this framework, the wrapping based curvelet transform is used to extract features, which are then used to train a random forest classifier. A kNN classifier (termed here as a 'verifier') is cascaded with the random forest to further correct any wrong decisions made by the random forest.On a subset of the Labeled Faces in the Wild dataset, this method performs well with an average percentage recognition of 82%.

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Section: Introductionmentioning

confidence: 99%

Experiments on the LFW database using curvelet transforms and a random forest-kNN cascade

Kayal

2012

2012 Second International Conference on Digital Information Processing and Communications (ICDIPC)

View full text Add to dashboard Cite

show abstract

The Face Recognition Algorithm Based on Curvelet Transform and CSVD

Cited by 1 publication

References 2 publications

Experiments on the LFW database using curvelet transforms and a random forest-kNN cascade

Experiments on the LFW database using curvelet transforms and a random forest-kNN cascade

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