搜索资源列表
bag of feature 介绍
- bag of feature 发展现状的介绍，北卡课程
bofAndColor
- 采用bag of word 特征加上颜色特征共同匹配的图像对匹配算法，具有匹配精度高的特点。-Bag of word feature by feature with the color image matching algorithm matches together, with matching high accuracy.
bagoffeature
- 这是图像识别方法bag of feature 的matlab源代码-This is image recognition method bag of feature matlab source code
bag-0.1.tar
- bag of feature bag of feature bag of feature bag of feature bag of feature -bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature bag of feature
BAG-OF-WORDS-daima-PG_SPBOW
- matlab编写的bag of words，可以对目标进行特征提取，实现目标匹配识别。-Matlab prepared bag of words, the target feature extraction, to achieve the goal of matching recognition.
bag-0.1.1.tar
- bag of feature bag of feature bag of feature-bag of feature bag of feature bag of feature bag of feature
DataBaseDemo
- 本示例主要解决GridPanel+TabPanel+ComboBox，动态生成数据，无须任何配置，并且大部分代码的实现都可通用,并且大量减免了在Html页面里静态配置数据列所带来的麻烦，这是很有用的技巧.为了大家更好的更方便的使用本示例,就附加了一个功能:只要添加本地的数据库连接,选择数据库里面的表,就可以对代码进行方便的测试. 更多可以查看包里的项目说明，并附有图片展示。 项目结构上使用三层，为了增加代码的清晰和阅读性，无用的代码都已经清理干净，因为是动态获取并显示任意数据库的任意数
BagOfWords
- 基于Bag of word的图像分类经典文章，非常适合初学者学习-Bag of feature based classification
BagOfFeatureFramework
- 基于Bag of feature的图像分类经典文章，非常适合初学者学习-Bag of feature based classification
bag_words_demo
- Graphic Detection and Recognition using Bag-of-word method, finding feature vector with K-means classifier, training or testing data with Naive Bayes Classifier or PLCA method.
LccSPM
- LLC做的图像分类算法，非常经典的图像分类算法。属于Bag-of-Feature模型，采用的是SIFT特征描述组。-LLC do image classification algorithm, belonging to the Bag-of-Feature model using the SIFT descr iptor group
bag.tar
- Bag of Words is an implementation of feature extraction in Matlab
PG_SPBOW-bag-of-feature
- 一个基于词汇包的训练的方法，内含作者论文。Bag of feature /training-A vocabulary packet-based training methods, including of paper. Bag of feature/training
High-stability-characteristics_SURF
- 本程序针对光照变化和部分遮挡这两种情形,提出一种基于多帧视频图像的高稳定特征的交通标志识别方法。利用有交通标志的多帧视频图像的SURF特征建立bag of SURFs特征向量集,非常有利于对SURF研究的学者和研发人员进行学习和改造。-The program for the illumination changes and partial occlusion both cases, the paper proposes a high-stability characteristics of mu
BOF_SVM
- Bag of Feature and SVM example using opencv
Bag-of-visual-words
- 将每一张图的特征点采样聚类成图片的视觉单词 即视觉单词,就是对应图片的代表 创建数据库,将每张图片的视觉单词入库,并建立索引-Will feature a map of each sampling point clustered into visual images of words that is visual words, is to represent the corresponding picture of the is created, the visual image of eac
buildDIC
- 用于创建BagOfFeature图片分类方法中的dictionary-Be used to create the dictionary for the Bag of Feature
mixBern
- Just like EM of Gaussian Mixture Model, this is the EM algorithm for fitting Bernoulli Mixture Model. GMM is useful for clustering real value data. However, for binary data (such as bag of word feature) Bernoulli Mixture is more suitable.
bag_of_feature2
- opencv bag of feature.BOW 分类方法，已经编译过。-opencv bag of feature
caffe-master
- 种基于期望最大化( E M) 算法的局部图像特征的语义提取方法。首先提取图像的局部图像特 征， 统计特征在视觉词汇本中的出现频率， 将图像表示成词袋模型； 引入文本分析中的潜在语义分析技术建立从低层图像 特征到高层图像语义之间的映射模型； 然后利用 E M 算法拟合概率模型， 得到图像局部特征的潜在语义概率分布； 最后利 用该模型提取出的图像在潜在语义上的分布来进行图像分析和理解。-Semantic extraction of local image features based on expe