Towards hash similarity and geometric-based image filtering to lighten underwater photo-mosaicing

Authors

  • Pol Baños Castelló
  • Francisco Bonín-Font

DOI:

https://doi.org/10.5821/iwp.2023.22.14758

Abstract

This paper presents a novel strategy to filter out images that contain redundant information when building photomosaics from the sea bottom. The goal is to alleviate computational resources and processing time in their construction. The algorithm operates in a set of sequential steps, extracting images from video sequences following camera translation and rotation pre-defined constraints and removing redundant data using hash similarity and SIFT feature matching techniques.

Issue

No. 22 (2023)

Section

Articles

License

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