Description: The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is face detection. The precision of the latter heavily depends your face recognition results. Typically scientists investigating in that field do not have the time or the ability to develop optimized C++ code ready for commercial use and confine themselves with the Matlab development process only. Platform: |
Size: 194996 |
Author:曲亚武 |
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Description: 使 用 说 明
本光碟中包含五个文件夹。
（1）视频剪辑：可供教学演示，其中，"two_cells"是采用改进的变分水平集方法，实现GAC模型图像分割的演化过程；"denoissing"是利用P_M方程，对图像平滑去噪的演化过程 "curve_linear_heat_flow"是利用FT实现的闭合曲线的线性热流演化过程。
（2）二值图像：其中的图像可供形态学图像处理实验用，也可通过提取对象的边界，供曲线演化实验使用。
（3）灰度图象和彩色图像：其中的图像，可以作为图像分割，平滑滤波，反差增强，彩色增强以及图像放大等实验的素材。
（4) MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的。
本光碟中的所有内容，仅供教学和研究参考。-This cd-rom contains five folder.
(1) video clip: for teaching demonstration, among them, "two_cells" is modified variational level set method, realize the GAC model of image segmentation evolution process "Denoissing" is to use P_M equation, the noise of the image smooth evolution process "Curve_linear_heat_flow" is the use of the realization of the FT closed curve of the evolution process of the linear heat flux.
(2) binary images: one of the image for morphology image processing experiments with, but through the extraction of the object boundaries, the curve evolution for use.
(3) gray image and color images: one of the image, image segmentation, can be used as a smooth filtering, contrast enhancement, color and enhance image magnification of the material.
(4) MATLAB: including more than 10 MATLAB program or (function) of source code. The comments in the program, and the book about the description of the corresponding algorithm is consistent.
The entire content of the disc, o Platform: |
Size: 7410688 |
Author:何最红 |
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Description: Abstract
Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service.-Abstract
Orthogonal frequency division multiplexing (OFDM) is becoming the chosen
modulation technique for wireless communications. OFDM can provide large data
rates with sufficient robustness to radio channel impairments. Many research centers
in the world have specialized teams working in the optimization of OFDM for
countless applications. Here, at the Georgia Institute of Technology, one of such
teams is in Dr. M. A. Ingram’s Smart Antenna Research Laboratory (SARL), a part
of the Georgia Center for Advanced Telecommunications Technology (GCATT).
The purpose of this report is to provide Matlab code to simulate the basic processing
involved in the generation and reception of an OFDM signal in a physical
channel and to provide a description of each of the steps involved. For this purpose,
we shall use, as an example, one of the proposed OFDM signals of the Digital
Video Broadcasting (DVB) standard for the European terrestrial digital television
(DTV) service. Platform: |
Size: 377856 |
Author:DEBALINA BANERJEE |
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Description: he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way.-he files in this package comprise the Matlab implementation of a
foreground segmentation algorithm based upon graph cuts, described in:
Better Foreground Segmentation Through Graph Cuts, N. Howe &
A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017.
The file extractForeground.m contains a sample function that will
perform a complete foreground segmentation for static camera video.
It uses a number of parameters, which are described in the
documentation. An attempt was made to choose sensible default values,
but they may need to be adjusted for some videos.
More generally, the implementation in extractForeground.m is only a
suggestion of how the graph-based segmentation might be used. The
same approach can be applied with other (perhaps time-adaptive)
background models. The key step is at line 113 of the code, once the
deviation array has been created. The graph-cut segmentation can be
applied similarly to a deviation matrix computed in any other way. Platform: |
Size: 1024 |
Author:suhail |
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Description: 源代码在matlab实现相邻帧间差分法对于视频中对移动目标的识别。附送视频，在matlab上能打开的视频只有无压缩的AVI视频。视频背景没有变化的情况下，处理效果很好。-The source code in matlab between adjacent frame difference method for the recognition of moving target in the video. Attached to the video, can open the video on the matlab only compressed AVI video. Does not change the background of video cases, the treatment effect is very good. Platform: |
Size: 3488768 |
Author:gjjh |
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Description: Matlab GUI with code to capture picture from a webcam, good example for people working with video and images from webcam Platform: |
Size: 7168 |
Author:asif |
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Description: VIBE用于视频背景建模，经典算法，C++和matlab代码都有，文件是全的。-VIBE for video background modeling, classical algorithms, C++ and matlab code has a file is complete. Platform: |
Size: 21216256 |
Author:魏琳 |
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Description: 分形维数计算的毯子算法matlab代码,实现了图像的灰度化并进一步用于视频监视控，抑制载波型差分相位调制。- Fractal dimension calculation algorithm matlab code blankets, Achieve a grayscale image and further control for video surveillance, Suppressed carrier type differential phase modulation. Platform: |
Size: 5120 |
Author:fanfan |
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Description: 通过matlab代码，实现了图像的灰度化并进一步用于视频监视控，DSmT证据推理的组合公式计算函数。- By matlab code, Achieve a grayscale image and further control for video surveillance, Combination formula DSmT evidence reasoning calculation function. Platform: |
Size: 5120 |
Author:hing |
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Description: 利用matlab针对图像进行马氏距离计算 ,实现了图像的灰度化并进一步用于视频监视控，Gabor小波变换与PCA的人脸识别代码。- Using matlab to calculate the Mahalanobis distance for the image, Achieve a grayscale image and further control for video surveillance, Gabor wavelet transform and PCA face recognition code. Platform: |
Size: 5120 |
Author:武勇石 |
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Description: ldpc码的编解码实现，实现了图像的灰度化并进一步用于视频监视控，课程设计时编写的matlab程序代码。- Codec ldpc code implementation Achieve a grayscale image and further control for video surveillance, Course designed to prepare the matlab program code. Platform: |
Size: 9216 |
Author:李泉莹 |
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Description: Computer Vision with MATLAB，人脸定位（图像），人脸定位追踪（视频），代码可以运行，仅供学习(With MATLAB computer vision, face location (image), face location tracking (video), the code can run, just for learning) Platform: |
Size: 28048384 |
Author:五秒咖喱棒
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Description: Matlab to achieve user-friendly, Achieve a grayscale image and further control for video surveillance, Foreign materials inside the source code. Platform: |
Size: 3072 |
Author:fengyaisai
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Description: Achieve a grayscale image and further control for video surveillance, Fractal dimension calculation algorithm matlab code blankets, Using a large number of finite element method to solve partial differential equations. Platform: |
Size: 8192 |
Author:beifentuiben
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Description: Achieve a grayscale image and further control for video surveillance, Based on wavelet transform digital watermarking algorithm matlab code, Minimum mean square error MSE calculation algorithm. Platform: |
Size: 3072 |
Author:beifentuiben
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Description: Achieve a grayscale image and further control for video surveillance, Based on wavelet transform digital watermarking algorithm matlab code, Face Recognition light treatment method. Platform: |
Size: 39936 |
Author:党顺国
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Description: Achieve a grayscale image and further control for video surveillance, Using matlab to calculate the Mahalanobis distance for the image, Code, there are very complete notes and explanation. Platform: |
Size: 38912 |
Author:朱喜科
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Description: The following Matlab project contains the source code and Matlab examples used for gui for denoising video signals with kalman filter. Denoising grayscale video signals using : 1) Estimation with windows option : 3x3x3 or 3x3x2 2) Kalman filter Note : ===== 1. Platform: |
Size: 10459919 |
Author:kenicoll@yahoo.fr |
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Search - matlab code for video