Table 1 Comparison of classification accuracies (CA) of different algorithms

From: Illumination invariant head pose estimation using random forests classifier and binary pattern run length matrix

Algorithm	Raw image	LBP image	CBP image	LDP image
PCA + SVM	64.6%	69.0%	70.3%	75.9%
LDA + SVM	73.9%	76.4%	78.7%	80.0%
Proposed	93.1%	-	-	-

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