Proceedings ArticleDOI
Feature extraction and discriminating feature selection for 3D face recognition
Goksel Gunlu,Hasan Sakir Bilge +1 more
- pp 44-49
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TLDR
The results show that the most energetic features, low frequency components, are not the most discriminating features in this 3D face recognition method.Abstract:
This paper presents a 3D face recognition method In this method, 3D Discrete Cosine Transform (DCT) is used to extract features Before the feature extraction, faces are aligned with respect to nose tip and then registered two times: according to average nose and average face Then the coefficients of 3D transformation are calculated The most discriminating 3D transform coefficients are selected as the feature vector where the ratio of between-class variance and within-class variance is used for discriminant coefficient selection The results show that the most energetic features, low frequency components, are not the most discriminating features The method was also modified based on 3D Discrete Fourier Transform (DFT) for feature selection as regarding real and complex DFT coefficients as independent features Discriminating features were matched by using the Nearest Neighbor classifier Recognition experiments were realized on 3D RMA face database The proposed method yileds a recognition rate above 99% for 3D DCT based featuresread more
Citations
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Journal ArticleDOI
Human Face Recognition under Pose Variation with Composing Geometric Methods
Hoda Ghaforiyan,Mehran Emadi +1 more
TL;DR: A method for face recognition with composing geometric method for example (LBP, LPQ), composing this methods in front of be cause decrease contortion accounting and increase speed system is presented.
A two phase algorithm for face recognition in frequency domain
TL;DR: A two-phase algorithm for face recognition method in frequency domain using discrete cosine transform (DCT) and discrete Fourier transform (DFT) and the absolute values of DCT coefficients or DFT amplitude spectrums are used to represent the face image.
Novel Neural Techniques for Gene Expression Analysis in Cancer Prognosis
TL;DR: The machine learning objectives were to improve the effectiveness of existing models and designing ad-hoc techniques to deal with high-dimensional data, including cetuximab, an anti-EGFR antibody approved for clinical use.
Context-Aware Fast 3D DCT/IDCT Algorithm for Low-power Video Codec in Mobile Embedded Systems
Sergio Saponara,Luca Fanucci +1 more
TL;DR: A context-aware fast algorithm for 3D DCT/ IDCT video coding is presented in the paper and it is shown that the new algorithm is suited for low-power video codec in mobile embedded systems.
References
More filters
Journal ArticleDOI
A method for registration of 3-D shapes
Paul J. Besl,H.D. McKay +1 more
TL;DR: In this paper, the authors describe a general-purpose representation-independent method for the accurate and computationally efficient registration of 3D shapes including free-form curves and surfaces, based on the iterative closest point (ICP) algorithm, which requires only a procedure to find the closest point on a geometric entity to a given point.
Journal ArticleDOI
Face recognition: A literature survey
TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Journal ArticleDOI
A review of feature selection techniques in bioinformatics
TL;DR: A basic taxonomy of feature selection techniques is provided, providing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.
Proceedings ArticleDOI
Overview of the face recognition grand challenge
P.J. Phillips,Patrick J. Flynn,T. Scruggs,Kevin W. Bowyer,Jin Chang,K. Hoffman,J. Marques,Jaesik Min,William J. Worek +8 more
TL;DR: The face recognition grand challenge (FRGC) is designed to achieve this performance goal by presenting to researchers a six-experiment challenge problem along with data corpus of 50,000 images.
Journal ArticleDOI
Face recognition by independent component analysis
TL;DR: Independent component analysis (ICA), a generalization of PCA, was used, using a version of ICA derived from the principle of optimal information transfer through sigmoidal neurons, which was superior to representations based on PCA for recognizing faces across days and changes in expression.
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