We present an efficient method of fitting a set of local feature models to an image within the
popular Active Shape Model (ASM) framework [3]. We compare two different types of non …

Great interest is recently shown in behavior modeling, especially in public surveillance
tasks. In general it is agreed upon the benefits of use of several input cues as audio and …

This paper describes an idea of recognizing the human face in the presence of strong facial
expressions using model based approach. The features extracted for the face image …

Parameterized appearance models (PAMs)(eg eigen-tracking, active appearance models,
morphable models) are commonly used to model the appearance and shape variation of …

Image alignment has been a long standing problem in computer vision. Parameterized
Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active …

Statistical models of shape and appearance are powerful tools for medical image analysis.
The shape models can capture the mean and variation in shape of a structure or set of …

This paper describes a comprehensive approach to extract a common feature set from the
image sequences. We use simple features which are easily extracted from a 3D wireframe …

Active Shape Models (ASMs) are commonly used to model the appearance and shape
variation of objects in images. This paper proposes two strategies to improve speed and …

Active appearance models (AAMs) have been extensively used for face alignment during
the last 20 years. While AAMs have numerous advantages relative to alternate approaches …

Statistical models of the shape and appearance of deformable objects have become widely
used in Computer Vision and Medical Image Analysis. Here we give an overview of such …