TL;DR
This paper presents a new adaptive stitching method for dual-fisheye cameras that reduces discontinuities in 360-degree images, improving visual quality even with challenging objects at the borders.
Contribution
The paper introduces an adaptive stitching technique specifically designed for dual-fisheye cameras, addressing misalignment and overlap issues to enhance image quality.
Findings
Effective reduction of stitching discontinuities
High-quality 360-degree images with challenging objects
Applicable to Samsung Gear 360 camera
Abstract
Dual-fisheye lens cameras have been increasingly used for 360-degree immersive imaging. However, the limited overlapping field of views and misalignment between the two lenses give rise to visible discontinuities in the stitching boundaries. This paper introduces a novel method for dual-fisheye camera stitching that adaptively minimizes the discontinuities in the overlapping regions to generate full spherical 360-degree images. Results show that this approach can produce good quality stitched images for Samsung Gear 360 -- a dual-fisheye camera, even with hard-to-stitch objects in the stitching borders.
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