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Discriminant Analysis for Recognition of Human Face Images (Invited Paper)

Kamran Etemad, +1 more
- pp 127-142
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The article was published on 1997-03-12 and is currently open access. It has received 611 citations till now. The article focuses on the topics: Linear discriminant analysis.

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Citations
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Book ChapterDOI

Face Recognition with Local Binary Patterns

TL;DR: A novel approach to face recognition which considers both shape and texture information to represent face images and the simplicity of the proposed method allows for very fast feature extraction.

Face Recognition with Local Binary Patterns

TL;DR: The principles of the LBP method and implementation to perform face recognition are presented and high recognition rates are obtained, especially compared to other face recognition methods.
Journal ArticleDOI

Recent advances in visual and infrared face recognition: a review

TL;DR: This paper provides an up-to-date review of research efforts in face recognition techniques based on two-dimensional images in the visual and infrared (IR) spectra.
Journal ArticleDOI

Learning gender with support faces

TL;DR: Nonlinear support vector machines are investigated for appearance-based gender classification with low-resolution "thumbnail" faces processed from the FERET (FacE REcognition Technology) face database, demonstrating robustness and stability with respect to scale and the degree of facial detail.

Discriminant analysis of principal components for face recognition

TL;DR: A hybrid classifier using PCA and LDA provides a useful framework for other image recognition tasks as well and demonstrates a significant improvement when principal components rather than original images are fed to the LDA classifier.
References
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Journal ArticleDOI

Orthonormal bases of compactly supported wavelets

TL;DR: This work construct orthonormal bases of compactly supported wavelets, with arbitrarily high regularity, by reviewing the concept of multiresolution analysis as well as several algorithms in vision decomposition and reconstruction.
Proceedings ArticleDOI

Face recognition using eigenfaces

TL;DR: An approach to the detection and identification of human faces is presented, and a working, near-real-time face recognition system which tracks a subject's head and then recognizes the person by comparing characteristics of the face to those of known individuals is described.
Journal ArticleDOI

Entropy-based algorithms for best basis selection

TL;DR: Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal or family of signals, and relies heavily on the remarkable orthogonality properties of the new libraries.
Journal ArticleDOI

Human and machine recognition of faces: a survey

TL;DR: A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community.
Journal ArticleDOI

Application of the Karhunen-Loeve procedure for the characterization of human faces

TL;DR: The use of natural symmetries (mirror images) in a well-defined family of patterns (human faces) is discussed within the framework of the Karhunen-Loeve expansion, which results in an extension of the data and imposes even and odd symmetry on the eigenfunctions of the covariance matrix.
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