Computer vision in AUVs: Automatic roto-rectification of stereo images
The work presented has been developed in the frame of a project of stereo vision for autonomous underwater vehicles (AUV) provided with optic sensors, simulating the system of human binocular vision which gave an origin to several work lines. The study involves three steps. The first one concerning...
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paper:paper_01977385_v3_n_p2169_Zelasco2023-06-08T15:20:37Z Computer vision in AUVs: Automatic roto-rectification of stereo images Dagum, Diego Amín Donayo, Judith Autonomous underwater vehicles Homologous points Roto-rectification Stereo images Stereoscopic vision Computer simulation Computer vision Image analysis Image quality Image reconstruction Ocean engineering Optical sensors Three dimensional Underwater equipment The work presented has been developed in the frame of a project of stereo vision for autonomous underwater vehicles (AUV) provided with optic sensors, simulating the system of human binocular vision which gave an origin to several work lines. The study involves three steps. The first one concerning with the obtention of relative orientation among components of stereo couple. That relative orientation will help to find an optimal plane to minimize deformation when projecting images onto. Finally, it follows the projection itself of the couple over optimal plane found. Fil:Dagum, Diego Amin Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Donayo, Judith Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2000 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01977385_v3_n_p2169_Zelasco http://hdl.handle.net/20.500.12110/paper_01977385_v3_n_p2169_Zelasco |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Autonomous underwater vehicles Homologous points Roto-rectification Stereo images Stereoscopic vision Computer simulation Computer vision Image analysis Image quality Image reconstruction Ocean engineering Optical sensors Three dimensional Underwater equipment |
spellingShingle |
Autonomous underwater vehicles Homologous points Roto-rectification Stereo images Stereoscopic vision Computer simulation Computer vision Image analysis Image quality Image reconstruction Ocean engineering Optical sensors Three dimensional Underwater equipment Dagum, Diego Amín Donayo, Judith Computer vision in AUVs: Automatic roto-rectification of stereo images |
topic_facet |
Autonomous underwater vehicles Homologous points Roto-rectification Stereo images Stereoscopic vision Computer simulation Computer vision Image analysis Image quality Image reconstruction Ocean engineering Optical sensors Three dimensional Underwater equipment |
description |
The work presented has been developed in the frame of a project of stereo vision for autonomous underwater vehicles (AUV) provided with optic sensors, simulating the system of human binocular vision which gave an origin to several work lines. The study involves three steps. The first one concerning with the obtention of relative orientation among components of stereo couple. That relative orientation will help to find an optimal plane to minimize deformation when projecting images onto. Finally, it follows the projection itself of the couple over optimal plane found. |
author |
Dagum, Diego Amín Donayo, Judith |
author_facet |
Dagum, Diego Amín Donayo, Judith |
author_sort |
Dagum, Diego Amín |
title |
Computer vision in AUVs: Automatic roto-rectification of stereo images |
title_short |
Computer vision in AUVs: Automatic roto-rectification of stereo images |
title_full |
Computer vision in AUVs: Automatic roto-rectification of stereo images |
title_fullStr |
Computer vision in AUVs: Automatic roto-rectification of stereo images |
title_full_unstemmed |
Computer vision in AUVs: Automatic roto-rectification of stereo images |
title_sort |
computer vision in auvs: automatic roto-rectification of stereo images |
publishDate |
2000 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01977385_v3_n_p2169_Zelasco http://hdl.handle.net/20.500.12110/paper_01977385_v3_n_p2169_Zelasco |
work_keys_str_mv |
AT dagumdiegoamin computervisioninauvsautomaticrotorectificationofstereoimages AT donayojudith computervisioninauvsautomaticrotorectificationofstereoimages |
_version_ |
1768542123227873280 |