搜索资源列表
sift--vcPP
- 基于sift的特征点匹配算法，实现图像特征点的匹配-Sift the feature points based on matching algorithms
avito
- 基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complet
av
- 基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述、KDtree匹配等关键步骤的全部函数实现，对全面深入理解Lowe的SIFT算法有莫大帮助。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complet
mbpp
- 基于OPENCV的SIFT特征提取与匹配算法。包含完整的从图像高斯金字塔、DOG、空间极值点提取、关键点描述。-OPENCV based SIFT feature extraction and matching algorithms. Extracted from the image Gaussian pyramid, DOG, space extremum point contains a complete descr iption of key points.
Feature-extraction-source
- 目前主流识别算法SIFT特征识别与匹配的C实现-Current mainstream recognition algorithm SIFT feature identification and matching of C implementations
robwhess-opensift-300bad1
- 基于opencv库的sift特征检测与匹配算法实现-Matching algorithm implementation based on the the opencv library sift characteristics detects
YZM
- C# 简单验证码识别。流程：1.图像预处理。 2.字符分割 3.对分割后的信息提取特征 4.用特征和样本进行匹配-C# simple identification code validation. Process: image preprocessing. Character segmentation, the characteristics of the divided information extracting 4. Matching characteristics and s
RS--tie-points-matching
- 影像特征提取与同名点匹配,读取图像，在窗口中显示，提取特征点（“+”表示），匹配同名像点（“+”表示）,列表显示各特征点和匹配点的像素坐标位置-Image feature point extraction and matching tie points,Read image displayed in the window, extracts feature points ("+" indication), the same name as the matching point ("+" indi
1-LEd
- 现在，基于视觉的手势识别中起着重要的在图像处理领域的作用，模式识别等在。人类的手是高度可变的器官和手特点是很容易受到各种环境因素的影响。考虑到手势的特性，在本文中我们提出了一种改进的YCbCr颜色空间的分割方法手势图像，并提取傅里叶描述子和胡矩作为识别特征。最后，Hausdorff距离用于识别手势的建模方法匹配。实验结果表明，提出的方法具有较高的操作和识别率。 关键词：-Now vision-based gesture recognition plays an important rol
RobustMatch
- 基于opencv，讲述关于SIFT、SURF、ORB、FREAK、FAST、BRIEF等方法用于图像的特征提取以及匹配之间的不同-Based on opencv, about SIFT, SURF, ORB, FREAK, FAST, and BRIEF, used for image feature extraction and matching between different
shibie
- 该识别程序是对26个英文字母和10个数字进行识别，用C++编程语言编写，同时采用13点特征提取对每一个字符进行有效的特征提取，再再用模板匹配最字符进行识别。-The identification procedure is 26 letters and 10 numbers identify, written C++ programming language, while 13-point feature for each character extract effective feature e