Description: 本光盘共包括三个工程，分别是用于实现数字图像基本处理算法的DimageProcess工程，
用于实现图像融合的PixelFusion工程和用于人脸识别的FaceDetection工程。
关于程序的运行，
DImageProcess工程只需载入Bmp格式的文件，便可通过菜单实现各种处理算法，
需要强调一点，其只对256色格式的图片进行处理。
PixelFusion工程程序运行时，用户须载入两幅图片，其中全色图像选择给定的图片spot.bmp，
而多光谱图片则为给定的图片tm.bmp。而后用户便可选择各种融合算法进行融合处理。
FaceDetection工程运行时，首先要通过文件“打开 载入图片face.bmp,而后才可以进行人脸检测
操作，需要强调的是人脸区域检测、眼睛的检测与定位、人嘴的检测与定位、人脸的勾勒四个处理
模块必须按照先后顺序进行，而且各个模块内的各项操作也必须按照菜单栏从上至下的顺序来进行。
另外，由于在人脸检测时用到了先验知识，所以目前只能对给定的图片face.bmp进行处理。-This CD-ROM includes a total of three projects, namely, for the realization of the basic digital image processing algorithms DimageProcess project
Used to achieve image fusion PixelFusion engineering and construction for face recognition FaceDetection.
With regard to program operation,
DImageProcess works just load Bmp file format can be achieved through the menu, a variety of processing algorithms,
Need to emphasize that its only 256-color format for image processing.
PixelFusion engineering program runs, users must load two pictures, one panchromatic image selection for a given image spot.bmp,
The multi-spectral images was given a picture tm.bmp. Then the user can select a variety of fusion algorithms to fuse.
FaceDetection project run-time, first through the file "Open to load image face.bmp, which can only proceed after face detection
Operation, needs to be emphasized is the human face region detection, eye detection and location, human mouth detection and position Platform: |
Size: 22050816 |
Author:马子领 |
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Description: 卡尔曼滤波C程序源码 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决非常大部分的问题，他是最优，效率率最高甚甚至是最有用的。他的广泛应用已经超过30年，包含机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统和导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。
-C program source code of Kalman filter Kalman filter is an optimal recursive data processing algorithm (optimized the the autoregressive data processing algorithm) " . To solve the very most of the problems, he is the best, the efficiency of the highest rates of very even be the most useful. He' s widely used for more than 30 years, including robot navigation and control, and sensor data fusion even in the military radar system and missile tracking. In recent years, used in computer image processing, such as the head and face recognition, image segmentation, image edge detection. Platform: |
Size: 1024 |
Author:xinlnix |
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Description: 卡尔曼滤波器是一个“optimal recursive data processing algorithm（最优化自回归数据处理算法）”。对于解决很大部分的问题，他是最优，效率最高甚至是最有用的。他的广泛应用已经超过30年，包括机器人导航，控制，传感器数据融合甚至在军事方面的雷达系统以及导弹追踪等等。近年来更被应用于计算机图像处理，例如头脸识别，图像分割，图像边缘检测等等。-Kalman filter is an " optimal recursive data processing algorithm (since the handover optimization of data processing algorithms)." For solving most of the problems is that he is the best, the highest efficiency even the most useful. He has been widely used for more than 30 years, including robot navigation, control, sensor data fusion even in the military aspects of the missile tracking radar systems and so on. In recent years it has been used on computer image processing, such as head and face recognition, image segmentation, image edge detection and so on. Platform: |
Size: 8192 |
Author:马国豪 |
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Description: This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole
face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then
used to reduce the dimension of features. In order to make full use of global and local features and
further improve the performance, a decision fusion technique is employed by using weighted sum rule.
Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed
method has superior overall performance compared to some other methods in the presence of facial
expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time
is acceptable for on-line face recognition systems Platform: |
Size: 1038336 |
Author:abdou |
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Description: 人脸识别中的光照处理方法，用于特征降维，特征融合，相关分析等,利用matlab针对图像进行马氏距离计算 。- Face Recognition light treatment method, For feature reduction, feature fusion, correlation analysis, Using matlab to calculate the Mahalanobis distance for the image. Platform: |
Size: 7168 |
Author:金百燕 |
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