# Robust Multi-Modal Image Stitching for Improved Scene Understanding

arXiv: https://arxiv.org/abs/2312.17010 · HTML: https://mlsanity.com/paper/2312.17010/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 13 references that are in the map.
- First posted on arXiv 28 Dec 2023.

## Abstract (arXiv)

Multi-modal image stitching can be a difficult feat. That's why, in this paper, we've devised a unique and comprehensive image-stitching pipeline that taps into OpenCV's stitching module. Our approach integrates feature-based matching, transformation estimation, and blending techniques to bring about panoramic views that are of top-tier quality - irrespective of lighting, scale or orientation differences between images. We've put our pipeline to the test with a varied dataset and found that it's very effective in enhancing scene understanding and finding real-world applications.