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An active appearance model (AAM) is a computer vision algorithm for matching a statistical model of object shape and appearance to a new image. They are built during a training phase. A set of images together with coordinates of landmarks, that appea
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这是一个对AAM（主动外观模型）和ASM（主动形状模型）两个库的介绍。-This is an AAM (Active Appearance Model) and ASM (active shape model) descr iption of the two libraries.
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AAM (Active Appearance Model) Building module. AAM statistically builds a joint shape and texture appearance model, which has been widely applied in face tracking, lip reading, audio-visual HCI, etc. -AAM (Active Appearance Model) Building module. AA
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active shape model .. there is an example to understand .. this is a source from the internet
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主动表观模型算法,可以用来对人脸图像进行描述和编码-The algorithm of Active Appearance Model（for c++)
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人脸检测的研究具有重要的学术价值，人脸是一类具有相当复杂的细节变化的自然结构目标，对此类目标的挑战性在于：人脸由于外貌、表情、肤色等不同，具有模式的可变性；一般意义下的人脸上，可能存在眼镜、胡须等附属物；作为三维物体的人脸影像不可避免地受由光照产生的阴影的影响。因此，如果能够找到解决这些问题的方法，成功地构造出人脸检测系统，将为解决其他类似的复杂模式的检测问题提供重要的启示。本书对人脸检测的基本问题、研究思路和方法、经典的算法和技术全方位地做了深入系统的介绍，着重介绍了作者在利用活动轮廓模型方法
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3D模式的头部位置检测测试代码，Opencv-reate an Active
Appearance Model of your own using OpenCV as well as how to use it to search for
the closest position your model is located at in a given frame.
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主动形状模型(active appearance model)的matlab代码 训练集和测试集需要从附带的网址上下载或者根据自己的需求构造-matlab code for active appearance model, the training and test sets could be downloaded the website in readme.txt or constructed by yourself according to your problem
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