Novel strategy filters redundant images in underwater photomosaicing, suggesting efficiency improvements.
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.
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Castelló et al. (2023) studied this question.
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