inverhuifu

说明：  单目视觉中的位姿估算代码，基于正交迭代的OI算法，含有主程序和test代码，test代码可以看到位姿估算解的精度(Monocular vision pose estimation code, orthogonal iterative algorithm based OI, containing the main program and test the code, test code can see the accuracy of pose estimation Solutions)

说明：  掌纹识别palm print recognition software（gray processing, image filtering, detection angle HARRIS, wavelet decomposition. Heat extraction zone, the function of mathematical ecology ）(Palmprint identification palm print recognition software (gray processing, image filtering, detection angle HARRIS, wavelet decomposition. Heat extraction zone, the function of mathematical ecology))

说明：  应用条件随机场进行图像分割 使用方法：将pydensecrf-py27或pydensecrf-py35重命名为pydensecrf，放入C:Program FilesAnaconda3Libsite-packages 运行：python inference.py im1.png anno1.png out.png(Renameing the file "pydensecrf-py27" or "pydensecrf-py35" to the new name "pydensecrf" Puting this file "pydensecrf" in this directory "C:Program FilesAnaconda3Libsite-packages" cd examples/ python inference.py im1.png anno1.png out.png)

基于多特征描述和DPF区域匹配的图像检索(Based on multi-feature description and matching DPF Regional Image Retrieval)

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)

CS压缩传感的初级教学代码，使用OMP重构，已注释，包括1维信号，2维图像的重构，分别使用dct和小波稀疏，列扫描和分块法进行omp重构(CS compressed sensing primary teaching code using OMP remodeling, already commented, including a 1-dimensional signals, 2-dimensional image reconstruction, respectively, using the DCT and wavelet sparse column scanning and sub-block method omp Reconstruction)

小波包程序2，能够对信号进行特征提取，有利于初学者。(This is a wavelet packet program 2，which is useful for the beginners.)

说明：  利用R语言编程实现高光谱遥感的随机森林分类(Random Forest Classification Based on Hyperspectral Remote Sensing Using R Language Programming)

基于离散余弦变换的数字水印，包括水印的嵌入和提取以及常间的各种水印攻击(Discrete cosine transform based on digital watermarking, including the watermark embedding and extraction, as well as between the various watermark attacks often)

说明：  Principal Warps: Thin-Plate Splines and the Decomposition of Deformations