The original active shape model (ASM) has already been applied to the areas such as image segmentation, feature points localization, and contour extraction. However, the original ASM suffers from the loss of accuracy and low speed in real time applications. Due to this, a new scheme of active shape model for facial feature extraction is proposed in this paper. In this scheme, the improvement of...

Most approaches for lip modelling are based on heuristic constraints imposed by the user. We describe the use of Active Shape Models for extracting visual speech features for use by automatic speechreading systems, where the deformation of the lip model as well as image search is based on a priori knowledge learned from a training set. We demonstrate the robustness and accuracy of the technique...

In this paper we present an approach for diatom classification on the basis of contour information. First an initial feature set is analysed. Then we present a method to reduce this initial feature space while preserving its discriminative power. Both results based on the initial feature space and the reduced one are compared and the classification method is discussed.

In this paper we present an improved Active Shape Model (ASM) for facial features extraction. The original ASM developed by Cootes et al. [1] suffers from factors such as, poor model initialization, modeling the intensity of the local structure of the facial features, and alignment of the shape model to a new instant of the object in a given image using simple Euclidian transformation. The core...