HOG使用OpenCV，C ++中的HOGDescriptor进行可视化 [英] HOG features visualisation with OpenCV, HOGDescriptor in C++

问题描述

我使用OpenCV C ++ Lib的HOGDescriptor计算图像的特征向量.我想可视化源图像中的功能.谁能帮我?

I use the HOGDescriptor of the OpenCV C++ Lib to compute the feature vectors of an images. I would like to visualize the features in the source image. Can anyone help me?

推荐答案

我今天遇到了完全相同的问题.使用OpenCV的HOGDescriptor::compute()函数为64x128图像计算HOGDescriptor向量很容易，但是没有内置功能可以可视化它.

I had exactly the same problem today. Computing a HOGDescriptor vector for a 64x128 image using OpenCV's HOGDescriptor::compute() function is easy, but there is no built-in functionality to visualize it.

最后，我设法了解了如何将梯度方向幅度存储在3870个长HOG描述符向量中.

Finally I managed to understand how the gradient orientation magnitudes are stored in the 3870 long HOG descriptor vector.

您可以在此处找到用于可视化HOGDescriptor的C ++代码:

You can find my C++ code for visualizing the HOGDescriptor here:

http://www.juergenbrauer.org/old_wiki/doku .php?id = public:hog_descriptor_computation_and_visualization

希望有帮助！

于尔根

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