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I'm trying to get started working with sift feature extraction using (C++) OpenCv. I need to extract features using SIFT, match them between the original image (e.g. a book) and a scene, and after that calculate the camera pose.
So far I have found this algorithm using SURF. Does anyone know a base code from which I can get started, or maybe a way to convert the algorithm in the link from SURF to SIFT?
Thanks in advance.
EDIT: Ok, I worked out a solution for the sift problem. Now I'm trying to figure the camera pose. I'm trying to use: solvePnP, can anyone help me with an example?
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SIFT in OpenCV Note that these were previously only available in the opencv contrib repo, but the patent expired in the year 2020. So they are now included in the main repo.
SIFT stands for Scale Invariant Feature Transform, it is a feature extraction method (among others, such as HOG feature extraction) where image content is transformed into local feature coordinates that are invariant to translation, scale and other image transformations.
SIFT (Scale Invariant Fourier Transform) Detector is used in the detection of interest points on an input image. It allows identification of localized features in images which is essential in applications such as: Object Recognition in Images.
Check out the feature2d tutorial section of the new OpenCV docs website. There tutorials with code showing:
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If you have managed to find matches between the image and the scene, then I suggest you apply cv::findHomography(). It will calculate the homography matrix using 4 matches as input.
You can convert to camera pose from the homography matrix directly.
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