Global ETD Search
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Showing 1 to 7 of 7 for “"FRGC"”.
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Facial analysis in video : detection and recognition
… of the Face Recognition Grand Challenge (FRGC) problems. The experimental results show that some color configurations, such as YV in the YUV color space and YJ in the YIQ color space, help improve face recognition performance. Based on these improved results, a novel feature extraction …
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A high performance automatic face recognition system using 3D shape information
… with an identification rate of almost 100% on FRGC 3D face database. Secondly, a face aligned approach is implemented by applying a combination of methods including Principal Component Analysis(PCA) face correction, Iterative Closest Point algorithms(ICP) and the alignment using the symmetry of …
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Face recognition using multiple features in different color spaces
… The recent Face Recognition Grand Challenge (FRGC) program reveals that uncontrolled illumination conditions pose grand challenges to face recognition performance. Most of the existing face recognition methods use gray-scale face images, which have been shown insufficient to tackle these …
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Landmark localisation in 3D face data
… images in the Face Recognition Grand Challenge (FRGC) database. Then, a range of feature descriptors of varying complexity are investigated to illustrate repeatability and accuracy when computed for the full set of eleven facial landmarks. At this stage, the nose–tip and two inner–eye corners are …
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3D Facial Feature Extraction and Recognition. An investigation of 3D face recognition: correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques.
… for matching. It is worth noting that the FRGC data set is the most challenging data set available supporting research on 3D face recognition and machine learning techniques are widely recognised as appropriate and efficient classification methods.
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Eye detection using discriminatory features and an efficient support vector machine
… databases, the Face Recognition Grand challenge (FRGC) version 2 database, the BioID database, and the FERET database, are applied to evaluate the proposed eye detection methods. Experimental results show the effectiveness of the proposed methods that improve upon some state-of-the-art eye …
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Two- and Three-dimensional Face Recognition under Expression Variation
In this thesis, the expression variation problem in two-dimensional (2D) and three-dimensional (3D) face recognition is tackled. While discriminant analysis (DA) methods are effective solutions for recognizing expression-variant 2D face images, they are not directly applicable when only a single …