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opencvsift
- SIFT 算法提取图像局部特征， 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤： 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
OpenCV_-image-feature-extraction
- OpenCV_局部图像特征的提取与匹配_源代码-OpenCV_ local image feature extraction and matching source code _
lbp
- 在opencv里实现局部二值算子，它是一种纹理描述算子，度量和提取图像局部的纹理信息，对光照具有不变性-Achieve local binary operator in opencv where it is a texture descr iption operator, local measure and extract image texture information, illumination invariance
robwhess-opensift
- 基于局部不变特征的图像匹配。利用SIFT算法实现局部特征的检测与提取，再用RANSAC算法筛选特征点，提高正确的匹配率。-Based image matching local invariant features. Use SIFT algorithm to detect and local feature extraction, and then filtering feature points RANSAC algorithm to improve the correct match rat
hsaliencyexe
- 图像边缘提取算法源码，基于局部显著度提取算法-saliency_RC on Opencv
matting
- 使用opencv开发，实现图像抠图，将需要的局部图像提取处理(Robust Matting 1. OpenCV 2. MTL library (for sparse matrix) 3. Intel Math Kernel Library (to solve linear equation by conjugate gradient method))
code1
- 特征点提取及图像匹配,局部图像特征提取匹配(Feature point extraction and image matching, local image feature extraction matching.)