Research into Human Face Recognition Algorithm Based on Active Appearance Model Feature Positioning

Abstract

Active Appearance Model (AAM) is a valid statistical algorithm for human face alignment, which composes of two parts, namely AAM sub-space model and AAM searching process. AAM has three sub-spaces, namely form sub-space, texture sub-space and surface sub-face. As it is stated above, AAM is built on the dot distribution model. Different from ASM, it not only conducts statistical analysis of textures through the shape information, but also explores the connection between the shape and the texture. During the training period, it mainly targets at finding out the connection between model parameter changes and changes of shapes and textures. In terms of new image searching, model parameters can be continuously adjusted according to the connection so as to make the composite image approximate the new one as much as possible. The shape and the texture at the moment are regarded at the shape and the texture of the new image.