LMFD: lightweight multi-feature descriptors for image stitching.

ABSTRACT: Image stitching is a fundamental pillar of computer vision, and its effectiveness hinges significantly on the quality of the feature descriptors. However, the existing feature descriptors face several challenges, including inadequate robustness to noise or rotational transformations and limited adaptability during hardware deployment. To address these limitations, this paper proposes a set of feature descriptors for image stitching named Lightweight Multi-Feature Descriptors (LMFD). Based on the extensive extraction of gradients, means, and global information surrounding the feature points, feature descriptors are generated through various combinations to enhance the image stitching process. This endows the algorithm with formidable rotational invariance and noise resistance, thereby impro

SUBMITTER: Fan Y 

PROVIDER: S-EPMC10689729 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature