Efficient Detection of Occlusion prior to Robust Face Recognition

Table 1

Summary of literature works in occluded face recognition.

Category	Abbreviation	Full name/brief description
Locality emphasized features/classifiers.	LFA [5]	Local feature analysis.
	AMM [6]	Gaussian mixture modelling of part-based Eigenface.
	SOM-AMM [7]	Self-organizing map modelling of part-based Eigenface.
	LS-ICA [8]	Local salient-independent component analysis.
	RD-Subspace [9]	Combining reconstructive and discriminative subspace.
	ARG [10]	Attributed relational graph.
	LGBPHS [11]	Local Gabor binary patterns histogram sequence.
	PSVM [12]	Partial support vector machines.
SRC based methods.	SRC [13]	Sparse representation based classification.
	MRF-SRC [14]	Markov random field to enforce spatial continuity in SRC.
	Gabor-SRC [15]	Compressible Gabor feature used in SRC.
	SIFT-SRC [16]	SIFT feature used in SRC.
	RSC [17]	Robust sparse coding.
Explicit occlusion analysis facilitated local feature/local component based methods.	Part-PCA [18]	Occlusion analysis + part-based Eigenface.
	S-LNMF [19]	Selective local nonnegative matrix factorization.
	KLD-LGBPHS [20]	Local Gabor binary patterns based on Kullback-Leibler divergence.
	OA-LBP [21]	Occlusion analysis + LBP (our preliminary work).