Image Stitching Algorithm

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Resource Overview

A fundamental image stitching algorithm that aligns and merges two images based on their overlapping regions, suitable for research and educational purposes with implementation insights.

Detailed Documentation

This article introduces a straightforward image stitching algorithm designed to align and combine two images by identifying their common overlapping areas. The algorithm utilizes keypoint detection (such as SIFT or ORB features) to identify correspondences between images, followed by homography estimation to compute the transformation matrix. Once aligned, the images are blended using techniques like linear feathering to minimize seam artifacts. Beyond practical application, this implementation serves as an educational resource for understanding core computer vision concepts, including feature matching, geometric transformations, and image fusion. By studying this approach, developers can build a solid foundation for advanced research and real-world applications in panoramic image generation and multi-view synthesis.

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