Book ChapterDOI
Feature Curve Metric for Image Classification
Qingxiang Feng,Jeng-Shyang Pan,Tien-Szu Pan +2 more
- pp 263-272
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TLDR
An improved classifier based on nearest feature line NFL, shortest feature line segment SFLS and nearest feature center NFC, called the feature cure metric FCM, is proposed for hand gesture recognition and face recognition.Abstract:
In this paper, an improved classifier based on nearest feature line NFL, shortest feature line segment SFLS and nearest feature center NFC, called the feature cure metric FCM, is proposed for hand gesture recognition and face recognition. Borrowing the concept from the NFC and SFLS classifiers, the proposed classifier uses the novel distance metric between the test sample and the pair of prototype samples. A large number of experiments on Jochen Triesch Static Hand Posture JTSHP Database, Yale face database and JAFFE face database are used to evaluate the proposed algorithm. The experimental results demonstrate that the proposed approach achieves better recognition rate than the other well-known classifiers, such as nearest neighbor NN classifier, NFL classifier, nearest neighbor line NNL classifier, center-based nearest neighbor CNN classifier, extended nearest feature line ENFL classifier, SFLS classifier and NFC classifier.read more
Citations
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Proceedings ArticleDOI
A Novel Kernel Extension for the Nearest Feature Line Classifier
TL;DR: In this article , a kernel extension of the NFL rule called Kernel Rectified NFL classifier is proposed to solve known problems of the original one, such as extrapolation and interpolation inaccuracies.
References
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Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Proceedings ArticleDOI
Coding facial expressions with Gabor wavelets
TL;DR: The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage and the Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.
Journal ArticleDOI
Face recognition using the nearest feature line method
Stan Z. Li,Juwei Lu +1 more
TL;DR: A novel classification method, called the nearest feature line (NFL), for face recognition, based on the nearest distance from the query feature point to each FL, which achieves the lowest error rate reported for the ORL face database.
Journal ArticleDOI
Performance evaluation of the nearest feature line method in image classification and retrieval
TL;DR: The NFL method is demonstrated to make efficient use of knowledge about multiple prototypes of a class to represent that class in image classification and retrieval.
Journal ArticleDOI
Locally nearest neighbor classifiers for pattern classification
TL;DR: Two novel classifiers based on locally nearest neighborhood rule, called nearest neighbor line and nearest neighbor plane, are presented for pattern classification, which take much lower computation cost and achieve competitive performance.