Description: active shape model的程序，用matlab编写-The programme using Matlab to realize the active shape model Platform: |
Size: 28903 |
Author:fsc03 |
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Description: active shape model的程序，用matlab编写-The programme using Matlab to realize the active shape model Platform: |
Size: 28672 |
Author:fsc03 |
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Description: 我国对Active Shape Model 的研究，主要应用在人脸识别方面。-our Active Shape Model of the study, the main application areas in face recognition. Platform: |
Size: 2831360 |
Author:rllzyy |
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Description: active shape model的matlab代码实现，用于图像处理，模式识别等方面-active shape model of matlab code for image processing, pattern recognition, etc. Platform: |
Size: 25600 |
Author:崔金龙 |
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Description: 基于ASM的人脸识别程序，包括训练部分。由Ghassan Hamarneh编写-ASM-based face recognition procedures, including the training component. Prepared by Ghassan Hamarneh Platform: |
Size: 23552 |
Author:ZhangGeng |
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Description: Face Alignment Using an Improved Active Shape Model -Face Alignment Using an Improved Active Shape Model Platform: |
Size: 151552 |
Author:lll |
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Description: 自己写的Active Shape Model face segmentation 代码 -Write their own Active Shape Model face segmentation code Platform: |
Size: 174080 |
Author:Roger |
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Description: 将形状作为具辨别力特征的主动轮廓模型应用-As a discerning the shape characteristics of active contour model application Platform: |
Size: 96256 |
Author:宁之林 |
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Description: 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。
-Description This is an example of the basic Active Shape Model (ASM) as introduced by Cootes and Taylor, with multi-resolution approach.
Basic idea:
The ASM model is trained from manually drawn contours in training images. The ASM model finds the main variations in the training data using Principal Component Analysis (PCA), which enables the model to automatically recognize if a contour is a possible/good object contour. Also the ASM models contains covariance matrices describing the texture of the lines perpendicular to the control points when in the correct positions.
After creating the ASM model, an initial contour is deformed by finding the best texture match for the control points. This is an iterative process, in which the movement of the control points is limited by what the ASM model recognizes from the training data as a "normal" object contour.
Literature:
- Ginneken B. et al. "Active Shape Model Segmentation with Optimal Features", IEEE Transactions on Medical I Platform: |
Size: 10190848 |
Author:谢冉 |
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Description: 国外课件：Active shape model 和 active contour model(snake)的matlab 原码，包括PDF格式的程序使用说明-Foreign courseware: Active shape model and active contour model (snake) in the matlab source, including the PDF format of the program instructions Platform: |
Size: 671744 |
Author:Dark Rider |
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Description: 这是一个asm主动形状模型的函数箱，里面都是全是源码-This is an active shape model asm function boxes, which are all source Platform: |
Size: 107520 |
Author:蒋飞云 |
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Description: 基于组相似的活动轮廓模型，Active Contours with Group Similarity，该源码是CVPR2013年中一篇文章的matlab代码，能够自动提取相似目标的公共形状，具有一定的参考价值。-Group similar to the active contour model based on, active contours with group similarity, the source code is CVPR2013 years in an article in the matlab code, can automatically extract the similarity to the target public shape, with a certain reference value. Platform: |
Size: 4469760 |
Author:lv |
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Description: The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation.
There is a demo.m file in this package, which shows how to run a simple demo.
The package is used by:
[1] Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications , Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004.
-The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation.
There is a demo.m file in this package, which shows how to run a simple demo.
The package is used by:
[1] Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications , Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004.
Platform: |
Size: 6144 |
Author:NandaAldira |
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