Automatic camera recovery for closed or open image sequences
We describe progress in completely automatically recovering 3D scene structure together with 3D camera positions from a sequence of images acquired by an unknown camera undergoing unknown movement. <br> The main departure from previous structure from motion strategies is that processing is not...
| Principais autores: | , |
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| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
Springer
2006
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| _version_ | 1826313839598108672 |
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| author | Fitzgibbon, AW Zisserman, A |
| author_facet | Fitzgibbon, AW Zisserman, A |
| author_sort | Fitzgibbon, AW |
| collection | OXFORD |
| description | We describe progress in completely automatically recovering 3D scene structure together with 3D camera positions from a sequence of images acquired by an unknown camera undergoing unknown movement.
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The main departure from previous structure from motion strategies is that processing is not sequential. Instead a hierarchical approach is employed building from image triplets and associated trifocal tensors. This is advantageous both in obtaining correspondences and also in optimally distributing error over the sequence.
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The major step forward is that closed sequences can now be dealt with easily. That is, sequences where part of a scene is revisited at a later stage in the sequence. Such sequences contain additional constraints, compared to open sequences, from which the reconstruction can now benefit.
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The computed cameras and structure are the backbone of a system to build texture mapped graphical models directly from image sequences. |
| first_indexed | 2024-09-25T04:21:17Z |
| format | Conference item |
| id | oxford-uuid:e533e8d4-d750-4e0d-a9f5-92174013764a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:21:17Z |
| publishDate | 2006 |
| publisher | Springer |
| record_format | dspace |
| spelling | oxford-uuid:e533e8d4-d750-4e0d-a9f5-92174013764a2024-08-06T12:31:53ZAutomatic camera recovery for closed or open image sequencesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:e533e8d4-d750-4e0d-a9f5-92174013764aEnglishSymplectic ElementsSpringer2006Fitzgibbon, AWZisserman, AWe describe progress in completely automatically recovering 3D scene structure together with 3D camera positions from a sequence of images acquired by an unknown camera undergoing unknown movement. <br> The main departure from previous structure from motion strategies is that processing is not sequential. Instead a hierarchical approach is employed building from image triplets and associated trifocal tensors. This is advantageous both in obtaining correspondences and also in optimally distributing error over the sequence. <br> The major step forward is that closed sequences can now be dealt with easily. That is, sequences where part of a scene is revisited at a later stage in the sequence. Such sequences contain additional constraints, compared to open sequences, from which the reconstruction can now benefit. <br> The computed cameras and structure are the backbone of a system to build texture mapped graphical models directly from image sequences. |
| spellingShingle | Fitzgibbon, AW Zisserman, A Automatic camera recovery for closed or open image sequences |
| title | Automatic camera recovery for closed or open image sequences |
| title_full | Automatic camera recovery for closed or open image sequences |
| title_fullStr | Automatic camera recovery for closed or open image sequences |
| title_full_unstemmed | Automatic camera recovery for closed or open image sequences |
| title_short | Automatic camera recovery for closed or open image sequences |
| title_sort | automatic camera recovery for closed or open image sequences |
| work_keys_str_mv | AT fitzgibbonaw automaticcamerarecoveryforclosedoropenimagesequences AT zissermana automaticcamerarecoveryforclosedoropenimagesequences |