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computer-vision_draft
- 最新重要计算机视觉书籍,其中包括图像处理，特征检测与匹配，分割，三维重建，识别等知识，是目前计算机视觉非常经典的书籍，是从事这个方向科研工作者必备的书籍。-The seeds for this book were first planted in 2001 when Steve Seitz at the University ofWashington invited me to co-teach a course called “Computer Vision for Computer Gr
target-detection-algorithm-
- 为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点，提出1 种基于决策树的多特征检测算法，并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息，通过计算各特征的信息增益建立决策树，将搜救目标检测问题分解成3 层决策树分类问题. 实验表明，该算法能够提高多特征目标检测的效率，在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition m
extract_features2.tar
- 各种图像描述符算法,图像特征提取用的是SIFT特征检测子-computes steerable filters, SIFT descr iptor, moments, differential invariants, complex filters, shape context, spin images, PCA-SIFT.
spectrum-sensing
- 认知无线电频谱感知的循环检测和周期特征检测-Cognitive radio spectrum sensing cycle detection, periodic feature detection
ColorHOG_Code_Web
- 利用颜色特征检测图像颜色变化以及亮度变化。-Using the detected image color characteristic color changes and brightness changes
基于LBP纹理特征的运动目标检测算法
- 基于LBP纹理特征的运动目标检测算法.rar-Moving target detection algorithm based on LBP texture features. Rar
HAAR
- 一个实现用svm实现的haar特征检测， 速度快。-A svm achieve haar feature detection speed.
peopledetect
- 人脸及行人检测中在opencv中要用到的haarcascade_righteye_2splits.xml，即特征检测的haar分类器，包括正面，侧边，上下左右各种，很全面-Face and pedestrian detection in opencv use to haarcascade_righteye_2splits.xml, feature detection haar classifier, including front, side, up and down various, very
siftDemo
- 可以运行，图像特征检测、匹配与拼接，可以修改后应用-Can run, image feature detection, matching stitching, you can modify the application
sift
- 基于sift有较大区别图像的特征检测即找出两幅有较大区别图像相同的特征点 本人开发环境为vc2010和opencv2.4.0版本 如有版本不同的开发者，需设当修改配置文件，特别是opencv版本不同-Code by Utkarsh Sinha * Based on JIFT by Jun Liu * Visit http://aishack.in/ for more indepth articles and tutorials on artificial intelligen
Features
- 国外Darya Frolova的特征检测课程的幻灯片，包括不变性特征SIFT.-Foreign Darya Frolova slide feature detection courtesy, including the invariant feature SIFT
Multi-level
- 基于LBP人脸特征检测，运用多层技术，运用LBP直方图运用多层技术-Multi-level the LBP histograms sequence features face recognition
MSER_matlab
- 对图像进行区域特征检测，使用MSER算法-Regional image feature detection, using MSER algorithm
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
image-feature-detection
- 图像特征检测(Image Feature Detection) 代码与对比-Code and contrast of the image feature detection (Image Feature Detection)
facedect
- 图像处理中人脸检测代码，并有主函数调用程序，采用Haar特征检测人脸。-Image processing human face detection code, and the main function of the calling program, Haar feature detection face.
canyedge
- 图像边缘检测，包括Canny算子和SUSAN特征检测算子等的边缘检测-The image edge detection, including edge detection Canny operator and SUSAN feature detection operator and other
FeatureDetection
- 图像的SURF特征检测，并将两张图片的特征进行匹配-SURF feature detection of the image, and the characteristics of the two picture matching
CSD_Detect_Eval1
- 认知无线电中信号检测循环频谱特征检测方法-The signal detection circulation spectral feature detection
harris_detection
- 基于Harris算法进行关键点检测，提取角点特征点，实现特征检测-Key point detection, extracting corner feature point, feature detection based on Harris algorithm