I have images of object took it from different sides, i want to find out the correct position for every object's pixel appearing in image 1, in the other images
find the correct coordinates for every object's pixels appearring in first image in the other images
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Welcome to Stack Overflow. Please read the information guides in the **help center** (https://stackoverflow.com/help), in particular, "How to Ask A Good Question" (https://stackoverflow.com/help/how-to-ask) and "How to create a Minimal, Reproducible Example" (https://stackoverflow.com/help/minimal-reproducible-example). – fmw42 Feb 25 '22 at 16:12
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thank you! what's wrong with my question ? – Oth Mane Feb 25 '22 at 16:27
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This forum is for correcting code. It is not a code writing service. Please make an attempt and show us your code. Hint: You will need a full camera model for each image. See for example https://learnopencv.com/camera-calibration-using-opencv/ – fmw42 Feb 25 '22 at 17:05
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i'm not looking for code, i'm looking for steps to solve the problem or any method already did the solution – Oth Mane Feb 25 '22 at 17:15
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Render your image without shading and a unique color per texture coordinate. Then same color in first image will be found in second image if the object point is visible. – Micka Feb 25 '22 at 21:06
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i've to work with this dataset – Oth Mane Feb 26 '22 at 10:58
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I solved this problem using features matching + homography from OpenCV, for more details : https://docs.opencv.org/3.4/d1/de0/tutorial_py_feature_homography.html

Oth Mane
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