qa.qcri.prepocressor.operations.feat

Class ANHDFFeatureExtractor

java.lang.Object

qa.qcri.prepocressor.operations.feat.FeatureExtractor

qa.qcri.prepocressor.operations.feat.ANHDFFeatureExtractor

Direct Known Subclasses:

SnakeFeatureExtractor

public class ANHDFFeatureExtractor
extends FeatureExtractor

This feature extractor implements Autonomously Normalized Horizontal Differential Feature Extraction as presented by El-Mahallawy (2008) in his PhD thesis.

Author:

Felix Stahlberg

Constructor Summary

Constructors

Constructor and Description
ANHDFFeatureExtractor(Configuration conf)

Method Summary

Methods

Modifier and Type	Method and Description
java.util.List<java.lang.Double>	extractFeatures(org.opencv.core.Mat whole, org.opencv.core.Mat frame) Extracts ANHDF features (dimensionality: 4*featAnhdfSegmentNum.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ANHDFFeatureExtractor

public ANHDFFeatureExtractor(Configuration conf)

Method Detail

extractFeatures

public java.util.List<java.lang.Double> extractFeatures(org.opencv.core.Mat whole,
                                               org.opencv.core.Mat frame)

Extracts ANHDF features (dimensionality: 4*featAnhdfSegmentNum. Extract features from the given frame. The length of the returned array should be always the same as long as the height of the frame matrix stays the same.

Specified by:

extractFeatures in class FeatureExtractor

Parameters:

whole - whole input frame

frame - current frame from which to extract features

Returns:

list of features or null if an error occurred