Better image stitching by using depth information

Better image stitching by using depth information

Natural Image Stitching Using Depth Maps
arXiv paper abstract
arXiv PDF paper

Natural image stitching (NIS) aims to create one natural-looking mosaic from two overlapping images that capture a same 3D scene from different viewing positions.

Challenges … arise when the scene is non-planar and the camera baseline is wide, since parallax becomes not negligible

… propose a novel NIS method using depth maps, which generates natural-looking mosaics against parallax in both overlapping and non-overlapping regions.

Firstly, … estimate a pixel-to-pixel transformation based on feature matches and their depth values.

Then, … draw a triangulation of the target image and estimate multiple local homographies, one per triangle, … Finally, the warping image is composited by the backward mapping of piece-wise homographies.

… method not only provides accurate alignment in the overlapping regions, but also virtual naturalness in the non-overlapping region.

Stay up to date. Subscribe to my posts
Web site with my other posts by category


Photo by Vitaliy on Unsplash



AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.