Database Reference
In-Depth Information
Fig. 7.17 Example images and the application of nonlinear histogram equalization: ( first column )
the original images; ( second column ) histograms of the original images; ( third column ) filtered
images; ( forth column ) histograms of the filtered images
Table 7.2
Face detection results for the two testing databases
Good
Bad
illumination
illumination
Changing head
case (348
case (427
poise/sizes (249
Multiple faces
Methods
samples)
samples)
samples)
(143 samples)
GW
87.50
75.25
72.49
70.14
GW + LN
93.74
85.69
89.06
81.38
bad conditions, changing head poses/sizes and multiple faces, respectively. It can be
observed that the application of local normalization to the face detection algorithm
provides significant improvement in detection rates for all cases discussed.
 
Search WWH ::




Custom Search