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 ima...
| Authors: | , |
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| Format: | article |
| Publication Date: | 2023 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2117/392127 |
| Online Access: | https://hdl.handle.net/2117/392127 |
| Access Level: | Open access |
| Keyword: | Image processing Photo-mosaicing Image hash SIFT features Imatges -- Processament Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
| Summary: | 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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