Program to stitch together two images into a single image (OpenCV - Python) by matching SIFT features. Steps: Detect SIFT features and compute descriptors separately for the two images. Find robust corresponding features using Flann-based matcher. Calculate homography matrix and merge images after perspective transformation. The two images that I have merged are 'Imag1.jpg' and 'Image2.jpg'. 'correspondences.jpg' contains the matching robust SIFT features. 'panorama.jpg' contains the final merged output image. Used OpenCV in Python.
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Program to detect SIFT features between two images and to merge them together into a single image (OpenCV - Python)
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- Python 100.0%