Description: 彩信中smil格式的发送程序代码。 //1. 创建MM7消息发送接口//2.置VASP注册的各种信息.VAS_PASSWORD= \"yourPassword\" MMSC_URL=\"http://61.144.250.225/vas\" etSubject(\"汉字iiiii\") //设置消息类型，使用SMIL方式一定要设置为tipart.related类ontentType(m.CT_APPLICATION_MULTIPART_RELATED ) mil文件中描述了要添加的发送的消息内容体 //添加内容体设置内容体格式.addContent) //将创建好的内容添加到消息//下面添加的消息内容体都对于于smil文件中描述的各个文件
该ID对应于smil文件中描述的消息内容
-MMS were sent smil format code. / / 1. Create MM7 messaging interface / / 2. Home Feature registration information. VAS_PASSWORD = "yourPassword" MMSC_URL = "http://61.144.250.225/vas" etSubject ( "Chinese iiiii ") / / set up the message type, the use of SMIL way must set to tipart.related category ontentType (m.CT_APPLICATION_MULTIPART_RELATED) mil paper describes add to the information content of this body / / add content-content-set format. addContent) / / create content added to the good news / / add the following information for the contents of their bodies in smil file describing the various documents corresponding to the ID smil file describing the content of news Platform: |
Size: 1675 |
Author:谢其财 |
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Description: 该函数根据待待配准图象中的特征点位置在基准图象中寻找配准特征点，并将配准的特征点位置返回。在配准的过程中，采取的是块配准的方法进行配准-according to the functions assigned to the prospective image of the location of the benchmark for image registration feature, Registration will feature the return position. In the registration process, the registration block is the method for registration Platform: |
Size: 4095 |
Author:文永富 |
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Description: 彩信中smil格式的发送程序代码。 //1. 创建MM7消息发送接口//2.置VASP注册的各种信息.VAS_PASSWORD= "yourPassword" MMSC_URL="http://61.144.250.225/vas" etSubject("汉字iiiii") //设置消息类型，使用SMIL方式一定要设置为tipart.related类ontentType(m.CT_APPLICATION_MULTIPART_RELATED ) mil文件中描述了要添加的发送的消息内容体 //添加内容体设置内容体格式.addContent) //将创建好的内容添加到消息//下面添加的消息内容体都对于于smil文件中描述的各个文件
该ID对应于smil文件中描述的消息内容
-MMS were sent smil format code.// 1. Create MM7 messaging interface// 2. Home Feature registration information. VAS_PASSWORD = "yourPassword" MMSC_URL = "http://61.144.250.225/vas" etSubject ( "Chinese iiiii ")// set up the message type, the use of SMIL way must set to tipart.related category ontentType (m.CT_APPLICATION_MULTIPART_RELATED) mil paper describes add to the information content of this body// add content-content-set format. addContent)// create content added to the good news// add the following information for the contents of their bodies in smil file describing the various documents corresponding to the ID smil file describing the content of news Platform: |
Size: 1024 |
Author:谢其财 |
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Description: 该函数根据待待配准图象中的特征点位置在基准图象中寻找配准特征点，并将配准的特征点位置返回。在配准的过程中，采取的是块配准的方法进行配准-according to the functions assigned to the prospective image of the location of the benchmark for image registration feature, Registration will feature the return position. In the registration process, the registration block is the method for registration Platform: |
Size: 4096 |
Author:文永富 |
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Description: 本MATLAB程序 用MATLAB 来实现3D 图像的匹配 用高斯卷积 来寻找 关键点 ,再利用关键点处的特征向量 通过3D向量的匹配 来实现3D 图像的配准-The MATLAB program using MATLAB to realize the matching of 3D images using Gaussian convolution to find the key points, re-use the key points of the feature vector through the 3D vector matching to realize 3D image registration Platform: |
Size: 1024 |
Author: |
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Description: Active contour demo implements snake, which essentially is an A* search. This can be used for image registration, segmentation, feature extraction. Platform: |
Size: 463872 |
Author:Wenmiao Lu |
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Description: 这是一个版自动的基于特征的图像配准程序，需要手工选取特征点，程序将自动找到匹配的特征点，进行配准-This is a version of an automatic feature-based image registration procedures, the need to manually select the feature points, the program will automatically find the matching feature points for registration Platform: |
Size: 113664 |
Author:刘勇 |
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Description: The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences. Platform: |
Size: 486400 |
Author:刘长乐 |
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Description: 图像的配准，特征点的匹配，直接读入两幅图像即可-Image registration, the matching feature points directly into the two images can be read Platform: |
Size: 454656 |
Author:吴明 |
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Description: Harris_conner_detection，用MATLAB实现Harris角点检测算子的源码，用于特征点提取及图像配准等。-Harris_conner_detection, use MATLAB to achieve Harris corner detection operator of the source code for the feature point extraction and image registration and so on. Platform: |
Size: 1024 |
Author:zhangrui |
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Description: The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented.-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. The term image registration is most commonly used to denote the process of alignment of images , that is of transforming them to the common coordinate system. This is done by optimizing a similarity measure between the two images. A widely used measure is Mutual Information (MI). This method requires estimating joint histogram of the two images. Experiments are presented that demonstrate the approach. The technique is intensity-based rather than feature-based. As a comparative assessment the performance based on normalized mutual information and cross correlation as metric have also been presented. Platform: |
Size: 98304 |
Author:Harry |
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Description: 在Matlab中实现基于旋转尺度不变特征提取特征点的方法。-Matlab implementation of the rotation based on scale-invariant feature extraction method of feature points. Platform: |
Size: 2634752 |
Author:quanshuiwusheng |
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Description: Example code with images for assessment of SAR images using image registration and feature based techniques Platform: |
Size: 8652800 |
Author:Abhinandan |
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Description: 基于联合相似测度的SAR图像边缘点特征配准方法-Based on a similar measure joint SAR image edge point feature registration method Platform: |
Size: 673792 |
Author:yaoyuan |
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Description: sift和surf特征点提取，然后进行配准，通过ransac进行提纯(Sift and surf feature points are extracted, then registered and purified by RANSAC) Platform: |
Size: 3195904 |
Author:lihaihaoge |
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Search - feature registration