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We propose a new formulation of the active surface model in 3D. Instead of aligning a shape dictionary through the similarity transform, we consider more flexible affine transformations and introduce an alignment method that is unbiased in the sense that it implicitly constructs a common reference shape. Our formulation is expressed in the continuous domain and we provide an algorithm to exactly implement...
In this paper, we present a novel methodology for computing statistical shape models (SSM's) by leveraging the medial axis model to determine shape variations between objects. Landmark based SSM's (LSSM's) are a popular approach to describing valid shape variation in an object of interest by applying principal component analysis to a set of landmarks on the surface of the object. However, defining...
The study of the statistic model of the spine in three-dimension (3-D) geometry aims to provide a scientific basis for the spine and vertebra related medical surgery. In this paper, we adopt the Active Sharpe Model (ASM) to build a spinal statistical model. That is, we first locate and mark the feature points of the three-dimensional reconstructed medical Computed Tomography images, so as to obtain...
Active shape model statistically represents a shape by a set of well-defined landmark points and can model object variations using principal component analysis. However, the shape generated by standard active shape model is unsmooth when the test sample has a large variation compared with the training images. In this paper, we introduce a robust active shape model for facial feature location. First,...
X-ray image segmentation is an important issue in medical image analysis. Due to inconsistent X-ray absorption, the intensities are usually unevenly distributed and noisy in the processed organ, thus the object segmentation becomes difficult. In this paper we propose a new segmentation method for patella from the lateral knee X-ray images based on the active shape model (ASM). At first, a patella...
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 accuracy in ASMs fitting. First, we define a new criterion to select landmarks that have good generalization properties. Second, for each landmark we learn a subspace with improved facial feature response effectively avoiding local minima...
Image warping and morphing are important visual effect tools in entertainment industry and other research fields. We developed a prototypical automatic facial image manipulation system (AFIM) for face morphing and shape normalization (warping). In our AFIM system, there are two main functions: (1) warping a facial image to a target image (face shape normalization), (2) generation of inter- or intra-personal...
In this paper, we proposed an automatic facial caricaturing system based on multi-view Active Shape Model (ASM). The ASM is used for automatic extraction of feature points. But it is difficult to apply the conventional ASM to facial images with pose variations. We developed a multi-view ASM bank, which includes various ASMs corresponding to each pose. The multi-view ASMs can extract feature points...
Active shape model (ASM) has been widely accepted as one of the best methods for image understanding. In this paper, we propose to improve ASM by introducing Procrustes analysis technique in the matching of feature landmark points of a set of training images and strengthening the edge in searching face profile. Firstly, each landmark point labeled manually is matched by its local profile in its current...
Real-time face alignment in video is very critical in many applications such as facial expression analysis, driver fatigue monitoring, etc. This paper presents a real time algorithm for face alignment in video that combines Active Shape Model (ASM) based face alignment and spatial-temporal continuity based tracking strategy. To guarantee the correctness of the tracked shape in each frame, a verification...
In this paper, an individual 3D face generation method has been proposed. This method is based on candide-3 and aims for pose normalization for face recognition system. By using ASM and AAM for facial feature point tracking and model parameters optimizing, this method decreases the computation time of 3D face generation and improves the level of the 3D model fitting with the input image. Through applying...
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