Euclidean structure from uncalibrated images
A number of recent papers have demonstrated that camera "selfcalibration" can be accomplished purely from image measurements, without requiring special calibration objects or known camera motion. We describe a method, based on self-calibration, for obtaining (scaled) Euclidean structure fr...
| Main Authors: | , , |
|---|---|
| Format: | Conference item |
| Language: | English |
| Published: |
BMVA Press
1994
|
| _version_ | 1826317640915746816 |
|---|---|
| author | Armstrong, M Zisserman, A Beardsley, P |
| author_facet | Armstrong, M Zisserman, A Beardsley, P |
| author_sort | Armstrong, M |
| collection | OXFORD |
| description | A number of recent papers have demonstrated that camera "selfcalibration" can be accomplished purely from image measurements, without requiring special calibration objects or known camera motion. We describe a method, based on self-calibration, for obtaining (scaled) Euclidean structure from multiple uncalibrated perspective images using only point matches between views. The method is in two stages. First, using an uncalibrated camera, structure is recovered up to an affine ambiguity from two views. Second, from one or more further views of this affine structure the camera intrinsic parameters are determined, and the structure ambiguity reduced to scaled Euclidean. The technique is independent of how the affine structure is obtained. We analyse its limitations and degeneracies. Results are given for images of real scenes. An application is described for active vision, where a Euclidean reconstruction is obtained during normal operation with an initially uncalibrated camera. Finally, it is demonstrated that Euclidean reconstruction can be obtained from a single perspective image of a repeated structure. |
| first_indexed | 2025-03-11T16:57:07Z |
| format | Conference item |
| id | oxford-uuid:a8c2de5a-c09d-4597-a3f2-20eac03bfa01 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2025-03-11T16:57:07Z |
| publishDate | 1994 |
| publisher | BMVA Press |
| record_format | dspace |
| spelling | oxford-uuid:a8c2de5a-c09d-4597-a3f2-20eac03bfa012025-02-25T15:14:53ZEuclidean structure from uncalibrated imagesConference itemhttp://purl.org/coar/resource_type/c_5794uuid:a8c2de5a-c09d-4597-a3f2-20eac03bfa01EnglishSymplectic ElementsBMVA Press1994Armstrong, MZisserman, ABeardsley, PA number of recent papers have demonstrated that camera "selfcalibration" can be accomplished purely from image measurements, without requiring special calibration objects or known camera motion. We describe a method, based on self-calibration, for obtaining (scaled) Euclidean structure from multiple uncalibrated perspective images using only point matches between views. The method is in two stages. First, using an uncalibrated camera, structure is recovered up to an affine ambiguity from two views. Second, from one or more further views of this affine structure the camera intrinsic parameters are determined, and the structure ambiguity reduced to scaled Euclidean. The technique is independent of how the affine structure is obtained. We analyse its limitations and degeneracies. Results are given for images of real scenes. An application is described for active vision, where a Euclidean reconstruction is obtained during normal operation with an initially uncalibrated camera. Finally, it is demonstrated that Euclidean reconstruction can be obtained from a single perspective image of a repeated structure. |
| spellingShingle | Armstrong, M Zisserman, A Beardsley, P Euclidean structure from uncalibrated images |
| title | Euclidean structure from uncalibrated images |
| title_full | Euclidean structure from uncalibrated images |
| title_fullStr | Euclidean structure from uncalibrated images |
| title_full_unstemmed | Euclidean structure from uncalibrated images |
| title_short | Euclidean structure from uncalibrated images |
| title_sort | euclidean structure from uncalibrated images |
| work_keys_str_mv | AT armstrongm euclideanstructurefromuncalibratedimages AT zissermana euclideanstructurefromuncalibratedimages AT beardsleyp euclideanstructurefromuncalibratedimages |