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

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.

Peer Reviewed

Country

Spain

Related Organizations

Keywords

Image processing, Imatges -- Processament, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo, Image hash, SIFT features, 004, Photo-mosaicing

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