This paper presents a novel approach to face recognition, named Multi-resolution Histograms of Local Variation Patterns (MHLVP), in which face images are represented as the concatenation of the local spatial histogram of local variation patterns computed from the multi-resolution Gabor features. For a face image with abundant texture and shape information, a Gabor feature map(GFM) is computed b...

Shape from texture has received much attention in the past few decades. We propose a computationally efficient method to extract the 3D shape of developable surfaces from the spectral variations of a visual texture. Under the assumption of homogeneity, the texture is represented by the novel method of identifying ridges of its Fourier transform. Local spatial frequencies are then computed using...

An efficient method for scattering Genetic Algorithm (GA) individuals in the design space is proposed to accelerate airfoil shape optimization. The method used here is based on the variation of the mutation rate for each gene of the chromosomes by taking feedback from the current population. An adaptive method for airfoil shape parameterization is also applied and its impact on the optimum desi...

Face recognition is markedly impaired when the stimuli differ in contrast polarity (negation) and upside-down orientation (inversion). However, these costs are not found for matching objects in the same subordinate class, such as chairs, even when the mismatching faces and objects are equivalently dissimilar, as assessed by a Gabor jet similarity metric (Subramaniam & Biederman, 1997). The rela...

Evidence that contour-shapes and texture-shapes are processed by different mechanisms included the finding that contour-shape aftereffects are reduced when the adaptation stimulus is a texture made of contours rather than a single contour. This phenomenon has been termed texture-surround suppression of contour-shape, or TSSCS. How does TSSCS operate and over what spatial extent? We measured the...

A detection and recognition method of traffic signs is implemented based on traffic signs’ color and shape features. This method consists of image segmentation based on HSV color space, detection and affine transformation correction based on geometry features, extraction of eigenvector by using Gabor filter, Classification and recognition by Support Vector Machine (SVM). The above algorithms ar...

The crest lines, salient subsets of the extrema of the principal curvatures over their corresponding curvature lines, are powerful shape descriptors which are widely used for shape matching, interrogation, and visualization purposes. In this paper, we develop fast, accurate, and reliable methods for detecting the crest lines on surfaces approximated by dense triangle meshes. The methods exploit...

An image and object search and retrieval algorithm is devised that combines colour and spatial information. Spatial characteristics are described in terms of Wiskott’s jets formulation, based on a set of Gabor wavelet functions at varying scales, orientations and locations. Colour information is first converted to a form more impervious to illumination colour change, reduced to 2D, and encoded ...

A feature-based approach to tracking rigid and non-rigid facial motion is described. Feature points are characterised using Gabor wavelets and can be individually tracked by phase-based displacement estimation. In order to achieve robust tracking a exible shape model is used to impose global constraints upon the local feature points and to constrain the tracker. While there are many application...

An image and object search and retrieval algorithm is devised that combines color and spatial information. Spatial characteristics are described in terms of Wiskott’s jets formulation, based on a set of Gabor wavelet functions at varying scales, orientations and locations. Color information is first converted to a form more impervious to illumination color change, reduced to 2D, and encoded in ...