搜索资源列表
face-detection-and-tracking
- 基于adaboost和mean-shift视频中的人脸检测与跟踪识别-face detection and tracking recognition of videoBased on adaboost and mean-shift
face-detection-and-tracking
- 基于AdaBoost和mean-shift视频中的人脸检测与跟踪识别-Based on AdaBoost and mean-shift video of face detection and tracking recognition
AdaBoost
- (北京大学本科论文)基于AdaBoost_算法的人脸检测，非常经典，也非常易懂！-(Peking University undergraduate thesis) based on AdaBoost_ face detection algorithm, very classic, is also very easy to understand!
Haar_like
- 找到的一篇基于haar—like特征的adaboost算法的相关论文，很详细-Related papers found an AdaBoost algorithm based on haar-like features in great detail
Face-detection-LBP
- 针对LBP的人脸检测算法的文章3篇，区别于adaboost的人脸检测算法，opencv有相应的训练数据库。-For three of the articles of the LBP face detection algorithm, the face detection algorithm is different from adaboost, opencv training database.
adaboostFace
- Adaboost人脸检测,用opencv写的，有借鉴作用-Adaboost face detect
FaceDetectorOtherversion
- 这是基于matlab的adaboost算法程序。对于初学者非常有用！-This is based on the AdaBoost algorithm matlab. Very useful for beginners!
Adaboost_Face_c(5.27)
- 使用adaboost进行人脸检测，主要进行的是图片的检测。在光线不足和有遮挡的情况下，识别的效果依然很好。-Using adaboost for face detection, mainly for the picture is detected. And sheltered in low light circumstances, identify the effect is still very good.
qqcif(5.24)
- 可以对cif，qcif以及qqcif实行人脸检测的程序，是检测序列的。使用的是adaboost算法。可以读入的是cif序列然后将其缩放为qqcif(88*72)然后进行检测，然后在将检测的人脸框长宽坐标各放大4倍 即可在原来的cif图象中标记人脸。 -Can cif, qcif and qqcif implement face detection procedure is to detect sequences. Using adaboost algorithm. Cif can be
face_rec_adaboost
- 本文件包括了adaboost算法进行人脸检测的代码。代码可以运行的。但需要自己添加数据集-This file contains the code adaboost algorithm for face detection code, human face detection friend, you can download to look
Scene-Classification
- 提供了三类场景“bedroom”、“CALsuburb”、“industrial”的样本特征集以及原始图像，分别用线性分类器、树状分类器、SVM分类器以及AdaBoost分类器对其进行区分。其中AdaBoost分类器有部分内容调用了Vezhnevets Alexander编写的源码-Provides three types of scenes " bedroom" , " CALsuburb" , " industrial" sample fea
gentleBoost
- gentleboost 算法的实现，其主要用在分类与boost和adaboost稍有不同-gentleboost algorithm, which is mainly used in classification and boost and slightly different adaboost
code
- Adaboost的C实现，在原始代码上做了一点小修改，另外加上了详细的注释，能够帮助初学者更好地理解分类器具体如何学习与选择的-Adaboost C implementation, the source code to do a little modification, plus detailed notes, can help beginners to better understand the specifics of how learning and classifier selectio
Boosting
- 由于这段时间一直在学习ADABOOST，还在学习阶段，这是本人学习中所汇总的相关资料，希望会对各位有所帮助-Because this period has been learning ADABOOST, still learning stage, this is my summary of the study by the relevant information, I hope will be helpful
Adaboost-faceROIencoding
- 详细介绍了基于ADABOOT算法识别人脸的过程，对于做人脸识别的工程师具有很好的很好的参考价值-Details of the process is based on ADABOOT face recognition algorithm, face recognition for doing a good engineer with a good reference value
haar
- 基于adaboost人脸检测，用生成好的样本。（用到OPENCV读取图像的库，使用前请下载opencv244）-Adaboost based face detection with generating good samples.
MultiBoost--QT
- 一个基于Qt实现的Adaboost算法，有一定参考价值，供学习交流-Qt achieved an Adaboost algorithm based on a certain reference value for the Learning Exchange
AdaBoostforTextDetection
- 基于AdaBoost的自然场景中文本定位的论文，思路很不错-Based on AdaBoost Chinese natural scenes this positioning paper, the idea is very good
MAERJIANCE
- 场景图像中文本占据的范围一般都较小，图像中存在着大范围的非文本区域。因此，场景图像文本定位作为一个独立步骤越来越受到重视。这包括从最先的CD和杂志封面文本定位到智能交通系统中的车牌定位、视频中的字幕提取，再到限制条件少，复杂背景下的场景文本定位。与此同时文本定位算法的鲁棒性越来越高，适用的范围也越来越广泛。文本定位的方式一般可以分为三种，基于连通域的、基于学习的和两者结合的方式。基于连通域的流程一般是首先提取候选文本区域，然后采用先验信息滤除部分非文本区域，最后根据候选文本字符间的关系构造文本
haarPadaboost
- adaboost算法中用于计算haar特征值的代码-The code used in the adaboost algorithm to compute haar eigenvalues