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Active appearance models (AAM) is very useful for extracting attention objects from objects, e.g. faces from images. Traditional improved methods of AAM based face alignment always concentrate on fitting efficiency without any concrete analysis of characteristics of the initial position and model instance, thus the accuracy and speed are both not ideal when the face has a certain degree of deflection...
A method of detection and localization in lip-reading system based on least square fitting and two stage ellipse fitting was proposed in this paper. Firstly, color space transformation in simple background facial images was made to simply and fast detect skin regions and get threshold for segmenting lip area; secondly, according to two stage ellipse fitting based on least square, lip image are gained...
Geometric models allow to determine semantic information about real-world objects. Model fitting algorithms need to find the best match between a parameterized model and a given image. This task inherently requires an objective function to estimate the error between a model parameterization and an image. The accuracy of this function directly influences the accuracy of the entire process of model...
This paper deals with shading and AAMs. Shading is created by lighting change. It can be of two types: self- shading and external shading. The effect of self-shading can be explicitly learned and handled by AAMs. This is not however possible for external shading, which is usually dealt with by robustifying the cost function. We take a different approach: we measure the fitting cost in a so-called...
3-D specific face model construction by way of 2-D face image is an active topic in 3-D face modeling research. In this paper, stereoscopic sense of vision is used to reconstruct 3-D feature points. Then multi-layer and multi-region RBF (radial basis function) based on feature points of frontal and profile face image is adopted for reconstructing the generic face model to get 3-D specific face model...
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