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This paper demonstrates the use of the Locality Sensitive Hashing technique operating in Euclidean metric space to build a data structure for Defense Meteorological Satellite Program (DMSP) satellite imagery database. Due to the high dimensionality of these images, their texture feature vectors are used. These features are extracted using pyramidal wavelet decomposition coupled with Gaussian central...
Age invariant face recognition is an important yet less investigated problem in the face recognition community. In this paper, we empirically evaluate state-of-the-art facial feature representations for age-invariant face recognition. Three representative features including local binary pattern (LBP), Gabor wavelets and gradient orientation pyramid (GOP) were applied, followed by a principal component...
This paper deals with stochastic texture modeling for classification issue. A generic stochastic model based on three-parameter Generalized Gamma (GG) distribution function is proposed. The GG modeling offers more flexibility parameterization than other kinds of heavy-tailed density devoted to wavelet empirical histograms characterization. Moreover, Kullback-leibler divergence is chosen as similarity...
The present article focuses on the classification of fingerprints. Our aim goal is to unify the process of fingerprint compression, classification and identification. The well known methods suited to these tasks are based on WSQ (Wavelet Scalar Quantization) for compression, Gabor filters for classification and minutiae matching for identification. We propose to use Block Ridgelet Transform (BRT)...
This paper presents a statistical view of the texture retrieval problem by combining the two related steps, feature extraction and similarity measurement. Based on spectral representation of texture images under Fourier transform, rotation invariant signatures of orientation spectrum distribution are extracted. Peak Distribution Vector (PDV) obtained on the spectral signatures capture texture properties...
Contemporary 2D face recognition is still a challenging work, especially when lighting varies. Thus, many works of resolving illumination variation in face recognition have been proposed, in the past decades. In this paper, we proposed Wavelet Local Binary Patterns Histogram Specification as a preprocessing technique for illuminated face recognition. Based on wavelet analysis, an illuminated facial...
We study the retrieval of coloured textures from a database. In a statistical framework we model the heavy-tailed wavelet histograms through a generalized Gaussian distribution (GGD). We choose the Kullback-Leibler divergence (KLD) as a similarity measure and we obtain a closed-form expression for the KLD between two zero-mean bivariate GGDs. This allows us to take into account the rich correlation...
Inspired by the superior performance of the dual-tree complex wavelet transform (DT-CWT) on signal representation and feature extraction, the well-known fisherface which is based on the linear discriminant analysis (LDA) and the eigenface which is based on the principal component analysis (PCA) are investigated in the DT-CWT domain and benchmarked in this paper. For the eigenface, the probabilistic...
In this paper a novel technique for face recognition is proposed. Using the statistical local feature analysis (LFA) technique, a set of feature points is extracted from each face image, at locations with highest deviations from the statistical expected face. Each feature point is described by a set of Gabor wavelet responses at different frequencies and orientations. A triangle-inequality-based pruning...
This paper proposes a new descriptor for textures, obtained by an independent components analysis (ICA) applied to image wavelet subbands. In certain conditions, ICA refines the wavelet multiband analysis. The descriptor, consisting in the independent components (ICs) distribution parameters, serves as basis for the textile image signature in a recognition application. By using the Kullback-Liebler...
To avoid using all training face images to recognize a test face image, the class centroids can be used; to alleviate the impairment of recognition accuracy due to face occlusion, Shannon wavelet kernel can be utilized. This paper presents a straight forward kernelbased approach with Shannon wavelet kernel for face recognition, which first finds the centroid face image in the kernel feature space...
A new classification method called affine subspace nearest points (ASNP) algorithm is presented in this paper. Similar to the idea of the geometrical explanation of support vector machines (SVMs), the ASNP algorithm designed by us as a binary classifier extends the areas searched for the nearest points from the convex hulls in SVM to affine subspaces, and constructs the decision hyperplane separating...
The extraction of required features from the facial image is an important primitive task for face recognition. This paper evaluates different nonlinear feature extraction approaches, namely wavelet transform, radon transform and cellular neural networks (CNN). The scalability of the linear subspace techniques is limited as the computational load and memory requirements increase dramatically with the...
Content-Based Image Retrieval (CBIR) allows automatic extraction of target images from a database of images according to objective visual contents of the image itself. Texture analysis is a popular operation for CBIR. In this paper we propose a texture analysis based scheme for Color Image Retrieval. We use Haar wavelet to decompose color images into multilevel scale and wavelet coefficients. From...
In this paper, we present a face recognition method based on the combination of the LoG-Gabor wavelets (GW) and the phase congruency (PC) method. The phase congruency feature images were obtained by applying phase congruency model to these multi-view face images with log-Gabor wavelets filters over 5 scales and 8 orientations, and then the mean and standard deviation of the image output are computed...
This paper presents a novel face recognition technique with graph topology drawn on scale invariant feature transform (SIFT) features and is compared with all the available well known techniques on SIFT features, and elastic bunch graph matching (EBGM) technique drawn on gabor wavelet feature. IITK face database is used for evaluation purpose. Test results show that the proposed graph matching technique...
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