搜索资源列表
BM
- 经典的单模式匹配算法：BM算法，对特征码检测有特别实用的帮助-The classic single-pattern matching algorithms: BM algorithm, signature detection with the help of special practical
sift_match(Qt)
- SIFT（Scale-invariant feature transform）是一种检测局部特征的算法，该算法通过求一幅图中的特征点（interest points,or corner points）及其有关scale 和 orientation 的描述子得到特征并进行图像特征点匹配，获得了良好效果.-SIFT (Scale-invariant feature transform) is a local feature detection algorithm by finding a pictu
sangou
- 包含特征值与特征向量的提取、训练样本以及最后的识别，主要为数据分析和统计，匹配追踪和正交匹配追踪。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Mainly for data analysis and statistics, Matching Pursuit and orthogonal matching pursuit.
suijiu_v11
- 用于信号特征提取、信号消噪，非常适合计算机视觉方面的研究使用,粒子图像分割及匹配均为自行编制的子例程。- For feature extraction, signal de-noising, Very suitable for the study using computer vision, Particle image segmentation and matching subroutines themselves are prepared.
suisou_v40
- 用于信号特征提取、信号消噪，粒子图像分割及匹配均为自行编制的子例程，给出接收信号眼图及系统仿真误码率。- For feature extraction, signal de-noising, Particle image segmentation and matching subroutines themselves are prepared, The received signal is given eye and BER simulation systems.
fuiyan_v53
- 包含特征值与特征向量的提取、训练样本以及最后的识别，包括四元数的各种计算,粒子图像分割及匹配均为自行编制的子例程。- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Including quaternion various calculations, Particle image segmentation and matching subrout