matlabsift特征提取代码-Scene-Recognition-with-Bag-of-Words:带有单词袋的场景识别

上传者: 38699593 | 上传时间: 2021-06-27 20:54:39 | 文件大小: 82.35MB | 文件类型: ZIP
matlab sift特征提取代码 Scene-Recognition-with-Bag-of-Words(基于词袋模型的场景识别) 1 实验目的 使用了两种特征提取算法(Tiny images feature和Bag of sift)及两种分类算法(k-Nearest Neighbor和SVM)进行场景识别。 Tiny + Nearest Neighbor Tiny + SVM Bags of SIFT + Nearest Neighbor Bags of SIFT+SVM 2 代码结构与功能 主函数:project3.m Tiny images feature 特征提取:get_tiny_images.m Bag of SIFT特征提取: build_vocabulary.m 实现词袋中标准词汇的选择 get_bags_of_sifts.m 实现词袋模型的构建 k-Nearest Neighbor分类器:nearest_neighbor_classify.m SVM分类器:svm_classify.m 获取图片路径:get_image_paths.m 将结果呈现成webpage形式

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