资源列表
压缩感知图像重构的算法
- 压缩感知图像重构的算法，直接观测原始信号（二维），最后重建(Compressed sensing image reconstruction algorithm, direct observation of the original signal (two-dimensional), and finally reconstruction)
LBP
- 这是LBP的程序代码，用于提取纹理特征，转载而来，供学习交流。(this is the code of LBP, and it is used to extract features,it's reproduced from others.)
BM
- 双目测距bm算法，已经实现,基于vs2015+opencv3.2,测距精度很高，一米内精度一厘米误差(Binocular ranging bm algorithm, which has been implemented, is based on vs2015 + opencv3.2, which has high accuracy and one centimeter error in one meter)
dp
- 动态优化处理立体匹配问题，展示了下效果，简单实现(Dynamic optimization processing stereo matching problem, show the effect, simple implementation)
Meanshift
- 利用meanshift来进行目标跟踪，有matlab和opencv版本(Using meanshift for target tracking, there are versions of MATLAB and opencv)
GABOR 小波代码
- 用于人脸识别边缘检测，实现5个尺度、8个方向的检测。(Edge detection for face recognition)
149008204siftMatch
- 三维重构的思路很简单，用OpenGL中纹理贴图功能，将平面图像中的三角形逐个贴到计算出的三维坐标上去就可以了。为了便于观察3D效果，我还设计了交互功能：用方向键可以上下左右旋转重构的模型，用鼠标滚轮可以放大或缩小。用gluLookAt函数可以实现视点旋转的功能。三维重构的代码实现在glFuncs.cpp中。(Three-dimensional reconstruction of the idea is very simple, with OpenGL texture mapping functi
4
- 4 基于曲波系数局部统计特性的图像去噪算法_汪祥莉(local statistical characteristics based on curvelet coefficient of _ Wang Xiangli image denoising algorithm)
K-SVD_and_W_KSVD_Sparse_Representation
- 通过字典学习更新的方法，对图像信号进行稀疏化分解(Through the method of learning and updating the dictionary, the image signals are sparse decomposed)
Imagetest
- 简单的matlab程序,用于打开医学影像所使用的dcm图片.(Simple matlab program used to open medical images using the DCM picture)
图像清晰化
- 实现图像的去雾和低照图像的对比度增强，可直接运行。(To achieve the image of fog and low contrast image enhancement, you can directly run.)
Edit68CMU_pack
- 人脸五官定位，采用AAM算法定位68个点(Facial feature location)