orl_faces

说明：  自己写的Active Shape Model face segmentation 代码 (Write their own Active Shape Model face segmentation code)

提供了两种光照补偿的方法进行比较，一种是参考白，一种是非线性补偿，并添加了直方图比较和参考文档。(Offers two illumination compensation methods were compared, one is the reference white, one is non-linear compensation, and adds a histogram comparison and reference documentation.)

二阶B样条小波边缘检测 处理后的图像为多尺度下的边缘检测图像 还需要进行边缘图像的匹配(Second-order B-spline wavelet edge detection image processing for multi-scale edge detection to the edge of the image also need to match image)

对立体视觉的双目图像进行极线校正，以实现双目致密匹配(Of three-dimensional visual image of the binocular epipolar rectification to realize dense binocular matching)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

基于相位和Lucas Kanade方法的光流计算matlab源程序。(Based on the phase and Lucas Kanade optical flow calculation methods matlab source.)

经过测试的基于sift程序的图像拼接。以lowe的程序为sift提取核心程序，此外还包括ransac算法，单应矩阵提取，图像融合（包括加权融合以及平均融合）算法，融合效果在testnew中可见。(Image mosaic based on sift program tested. The lowe program sift extract the core program, in addition to including ransac algorithm homography extract image fusion (including fusion weighted average fusion) algorithm, fusion effect is visible in testnew.)

jpeg压缩matlab程序，可供学习图像视频编解码的同学学习(jpeg compression matlab program for learning image video codec students to learn)

Contrast Stretching in Matlab

SVM 用于基于块划分特征提取的图像分类源码(SVM for feature extraction block-based image classification into source)