@Reference(type=Article, author={"Xiaoyang Tan","Triggs, B."}, title="Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions", year="2010", journal="Image Processing, IEEE Transactions on", pages={"1635 ","1650"}, month="june ", number="6", volume="19", customData={"keywords","CAS-PEAL-R1;Gabor wavelets;PCA;distance transform based matching;extended Yale-B;face recognition;kernel-based feature extraction;local binary patterns;local spatial histograms;local ternary patterns;local texture feature set enhancement;local texture-based face representations;multiple feature fusion;principal component analysis;robust illumination normalization;face recognition;feature extraction;image enhancement;image fusion;image representation;image texture;principal component analysis;wavelet transforms;Algorithms;Biometry;Face;Humans;Image Enhancement;Image Interpretation, Computer-Assisted;Imaging, Three-Dimensional;Lighting;Pattern Recognition, Automated;Reproducibility of Results;Sensitivity and Specificity;Subtraction Technique;","doi","10.1109/TIP.2010.2042645","ISSN","1057-7149"})
See: Description
Interface | Description |
---|---|
LTPWeighting |
Class | Description |
---|---|
AbstractLtpDtFeature |
Base class for LTP based features using a
truncated Euclidean distance transform
to estimate the distances within each slice.
|
GaussianWeighting |
A Gaussian
LTPWeighting function. |
LtpDtFeature |
The LTP based feature using a truncated Euclidean distance transform
to estimate the distances within each slice.
|
LtpDtFeature.Extractor<Q extends DetectedFace> |
A
FacialFeatureExtractor for extracting LtpDtFeature s. |
TruncatedWeighting |
A truncated weighting scheme which cuts-off distances
beyond a threshold.
|