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在源码实现的研究过程中将采取基于水平集方法的几何活动轮廓模型如测地轮廓模型或Mumford-shah模型与其他的分割方法的结合。针对具体的图像可以将一些先验知识（灰度和形状信息）加入到算法中-source realized in the course of the study will be taken based on the level set method of the geometric active contour models such as the geodesic contour
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Active Shape Models 的创始人 T.F.Cootes的几篇重要论文-the founder of the T. F. Cootes several important papers
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图像处理的关于Snakes : Active Contour Models算法和水平集以及GVF的几篇文章，文章列表为：
[1]Snakes Active Contour Models.pdf
[2]Multiscale Active Contours.pdf
[3]Snakes, shapes, and gradient vector flow.pdf
[4]Motion of level sets by mean curvature I.pdf
[5]Spectral S
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Active contour models, deformable surface models,
edge detection, gradient vector flow, image segmentation,
shape representation and recovery, snakes.-Active contour models, deformable surface models, edge detection, gradient vector flow, image s
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ASM是由Cootes和泰勒推出的多分辨率方法的一个例子。
基本思想：
在ASM模型训练，训练从手工绘制的图像轮廓。发现的ASM模型在训练使用主成分分析（PCA），使该模型自动识别数据的主要变化是，如果可能的轮廓/好的对象的轮廓。还包含了ASM模型的协方差矩阵描述行垂直纹理口岸时，在正确的位置。
-Descr iption This is an example of the basic Active Shape Model (ASM) as introduced by Coot
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this code in matlab for applying active shape models and active appearance models to detect the features of hand-this code in matlab for applying active shape models and active appearance models to detect the features of hand
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vialo-jones人脸检测和识别算法的c参考实现，适合移植到多个平台-These are the source files for stasm, which is a command line program
for locating features in a face using Active Shape Models. You give
stasm an image file (i.e. a JPEG or BMP) and it returns the image with
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active shape models的标定点程序-active Shape the models of standard fixed-point program
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active shape models的形状编程-the shape of the programming of the active Shape the models
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active shape models模型建立-active Shape the models modeling
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active shape models测试程序-an active shape the models test program
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active shape models训练集-an active shape the models training set
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active shape models模版样本程序-an active shape the models template sample programs
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active shape models的找到原点程序-active Shape the models to find the origin of the program
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主动形状模型实现与多分辨率统计；ASM实现人脸的定位匹配,算法简单.-
Active Shape Models Implementation
with Multi-Resolution Statistics；
ASM can realize face location and matching.Algorithm is simple.
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Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensiona
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Active shape models (ASMs) are statistical models of the shape of objects which iteratively deform to fit to an example of the object in a new image, developed by Tim Cootes and Chris Taylor in 1995.
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asm pasm stasm ，活动形状模型，主动形状模型-asm pasm stasm, active shape models, active shape models
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this principle component analysis(PCA) that is used for linear dimensionality reduction and feature extraction as well as the nonlinear form of PCA which is KPCA and how PCA is used for Active shape models -this is principle component analysis(PCA) t
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基于主动形状模型的人脸识别特征点征点标定，-Face recognition based on active shape models feature point calibration feature points,
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