Maintaining multiple motion model hypotheses over many views to recover matching and structure
In order to recover structure from images it is desirable to use many views to obtain the best possible estimates. However, whilst recovering projective structure and motion from such extended sequences problems arise that are not apparent from a general view-point/structure approach. Foremost among...
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Format: | Conference item |
Language: | English |
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IEEE
2002
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author | Torr, P Fitzgibbon, AW Zisserman, A |
author_facet | Torr, P Fitzgibbon, AW Zisserman, A |
author_sort | Torr, P |
collection | OXFORD |
description | In order to recover structure from images it is desirable to use many views to obtain the best possible estimates. However, whilst recovering projective structure and motion from such extended sequences problems arise that are not apparent from a general view-point/structure approach. Foremost amongst these are (a) maintaining image correspondences consistently through many images, and (b) identifying images, within the sequence, for which structure cannot be reliably recovery. Within this paper the use of multiple motion model hypotheses is explored as an aid to solve both of these problems. |
first_indexed | 2024-12-09T03:22:18Z |
format | Conference item |
id | oxford-uuid:72818126-12fa-4f6b-a10d-9bd43ef5f088 |
institution | University of Oxford |
language | English |
last_indexed | 2024-12-09T03:22:18Z |
publishDate | 2002 |
publisher | IEEE |
record_format | dspace |
spelling | oxford-uuid:72818126-12fa-4f6b-a10d-9bd43ef5f0882024-11-14T11:52:04ZMaintaining multiple motion model hypotheses over many views to recover matching and structureConference itemhttp://purl.org/coar/resource_type/c_5794uuid:72818126-12fa-4f6b-a10d-9bd43ef5f088EnglishSymplectic ElementsIEEE2002Torr, PFitzgibbon, AWZisserman, AIn order to recover structure from images it is desirable to use many views to obtain the best possible estimates. However, whilst recovering projective structure and motion from such extended sequences problems arise that are not apparent from a general view-point/structure approach. Foremost amongst these are (a) maintaining image correspondences consistently through many images, and (b) identifying images, within the sequence, for which structure cannot be reliably recovery. Within this paper the use of multiple motion model hypotheses is explored as an aid to solve both of these problems. |
spellingShingle | Torr, P Fitzgibbon, AW Zisserman, A Maintaining multiple motion model hypotheses over many views to recover matching and structure |
title | Maintaining multiple motion model hypotheses over many views to recover matching and structure |
title_full | Maintaining multiple motion model hypotheses over many views to recover matching and structure |
title_fullStr | Maintaining multiple motion model hypotheses over many views to recover matching and structure |
title_full_unstemmed | Maintaining multiple motion model hypotheses over many views to recover matching and structure |
title_short | Maintaining multiple motion model hypotheses over many views to recover matching and structure |
title_sort | maintaining multiple motion model hypotheses over many views to recover matching and structure |
work_keys_str_mv | AT torrp maintainingmultiplemotionmodelhypothesesovermanyviewstorecovermatchingandstructure AT fitzgibbonaw maintainingmultiplemotionmodelhypothesesovermanyviewstorecovermatchingandstructure AT zissermana maintainingmultiplemotionmodelhypothesesovermanyviewstorecovermatchingandstructure |