如何从图像中提取特征进行分类和对象识别？ [英] How to extract features from image for classification and object recognition?

问题描述

我对我应该使用特征提取方法的方式感到困惑
我想使用SVM在图像中应用对象识别，
Emgu的示例中有一个示例包含XML文件包含猫的功能！
和我一周以来一直在努力知道他们是怎么做的以及他们使用了什么方法
而且我遇到了这个页面
http://experienceopencv.blogspot.com/2011/02/learning-deformable-models-with-latent.html
显示步骤！它是如此复杂加上自己无法做到这一点
我很丢失!!谁能告诉我一个适当的特征提取方法与SVM学习兼容？
雅阁有SVM示例，但它是在手写，不处理彩色图像=（
任何帮助链接？
谢谢

I'm confused about the way I should make the "features extraction " method I want to use SVMs to apply "Object recognition" in images , There's a sample in Emgu's examples that holds an XML file contains the features of a cat ! and I've been trying since a week to know how they did it and what methods they used and I came across this page http://experienceopencv.blogspot.com/2011/02/learning-deformable-models-with-latent.html that displays the steps ! It's so complicated plus couldn't do it myself I'm so lost !! can anyone tell me an appropriate method of "features extraction "Compatible with SVMs learning ? Accord has SVM example but it's on hand writing and doesn't deal with color images =( any helping links ? thanks

推荐答案

你需要专注于gabor过滤器，这是一个用于人脸识别和物体识别的高级提取器。

You need to concentrate on the gabor filter, which is an advanced extractor for face recognition and object recognition.

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