Shulou(Shulou.com)06/02 Report--

Today, I will talk to you about how to use OpenCV to achieve plane object recognition in C++, many people may not know much about it. In order to make you understand better, the editor summarized the following content for you. I hope you can get something according to this article.

Code demonstration

Let's create a new project named opencv--findobject, follow the configuration properties (VS2017 configure OpenCV common properties), and then write # include and main methods in the source file

Then we copy all the FLANN matching methods from the previous lesson to "C++ OpenCV feature extraction FLANN feature matching".

Do you still remember the operation effect at that time?

This time, let's change a picture and show the headshot directly.

We started coding at the end of the last code.

First of all, find the corresponding point from the most sitting match.

Generate the matrix of perspective transformation

Define the corners of two pictures, and then transform them into perspective.

Draw lines on the output image

The position of the display image above is because our two pictures are put together, so we need to calculate the offset of the data.

Display image

Next, let's take a look at the results of the operation.

As you can see, the image we matched is already painted on it.

If we draw directly on the second picture, we can add the offset without the line above.

After reading the above, do you have any further understanding of how to use OpenCV to achieve flat object recognition in C++? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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