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Convex hull vertices extraction from a binary image to detect fingertips always involves multi-step pre-processing algorithm such as edge detection algorithms, before the actual convex hull algorithm can be applied on the image. The pre-processing steps often take up much computational resources. In this paper, we endeavour to reduce the computational resources by introducing a hybrid convex hull...
Given a set of images of a set of 3D points, with known correspondence among them, we would like to reconstruct the coordinates of the 3D points and discover the projection matrices associated with the cameras used to capture these images. Once this information is obtained, we would be able to compute any novel view of these 3D points from a virtual camera placed at any position and orientation. We...
A stochastic texture is a texture whereby the arrangement of the pattern is random in nature. The identification for each of these textures is uncertain and usually involves complex methods to search for the locations of the correlation between these textures. We propose the cluster coding algorithm which could easily classify the stochastic textures in a semantic way based on statistical features...
Texture refers to properties that represent the surface or structure of an object and is defined as something consisting of mutually related elements. The main focus in this study is to do texture segmentation and classification for texture digital images. Grey level co-occurrence probabilities (GLCP) method is being used to extract features from texture image. Gaussian support vector machines (GSVM)...
Ant colony optimization (ACO) is a metaheuristic approach for solving hard optimization problem. It has been applied to solve various image processing problems such as image segmentation, classification, image analysis and edge detection. In this paper, we present an Improved Canny edges (ICE-ACO) algorithm which uses ACO to solve the problem of linking disjointed edges produced by Canny edge detector.
In this paper, we present our initial studies and results obtained on e-learning facial expression recognition using Gabor wavelet for facial feature extraction, and back-propagation neural network for expression classification. An eFEC database that consists of 600 facial expression images is built for our research. We also provide reasons on why we need to build our own database instead of customizing...
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