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A Generalised Approach to the use of Sampling for Rapid Object Location
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| Zeitschriftentitel: | International Journal of Applied Mathematics and Computer Science |
|---|---|
| Personen und Körperschaften: | |
| In: | International Journal of Applied Mathematics and Computer Science, 18, 2008, 1, S. 7-19 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Walter de Gruyter GmbH
|
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Davies, E. Davies, E. |
|---|---|
| author |
Davies, E. |
| spellingShingle |
Davies, E. International Journal of Applied Mathematics and Computer Science A Generalised Approach to the use of Sampling for Rapid Object Location Applied Mathematics Engineering (miscellaneous) Computer Science (miscellaneous) |
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davies, e. |
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Davies, E. 1641-876X Walter de Gruyter GmbH Applied Mathematics Engineering (miscellaneous) Computer Science (miscellaneous) http://dx.doi.org/10.2478/v10006-008-0001-3 <jats:title>A Generalised Approach to the use of Sampling for Rapid Object Location</jats:title><jats:p>This paper has developed a generalised sampling strategy for the rapid location of objects in digital images. In this strategy<jats:italic>a priori</jats:italic>information on the possible locations of objects is used to guide the sampling process, and earlier body-based and edge-based approaches emerge automatically on applying the right<jats:italic>a priori</jats:italic>probability maps. In addition, the limitations of the earlier regular sampling technique have been clarified and eased—with the result that sampling patterns are better matched to the positions of the image boundaries. These methods lead to improved speeds of operation both in the cases where all the objects in an image have to be located and also where the positions of individual objects have to be updated. Finally, the method is interesting in being intrinsically able to perform full binary search tree edge location without the need for explicit programming.</jats:p> A Generalised Approach to the use of Sampling for Rapid Object Location International Journal of Applied Mathematics and Computer Science |
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International Journal of Applied Mathematics and Computer Science |
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| title |
A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_unstemmed |
A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_full |
A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_fullStr |
A Generalised Approach to the use of Sampling for Rapid Object Location |
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A Generalised Approach to the use of Sampling for Rapid Object Location |
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A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_sort |
a generalised approach to the use of sampling for rapid object location |
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Applied Mathematics Engineering (miscellaneous) Computer Science (miscellaneous) |
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http://dx.doi.org/10.2478/v10006-008-0001-3 |
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2008 |
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7-19 |
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<jats:title>A Generalised Approach to the use of Sampling for Rapid Object Location</jats:title><jats:p>This paper has developed a generalised sampling strategy for the rapid location of objects in digital images. In this strategy<jats:italic>a priori</jats:italic>information on the possible locations of objects is used to guide the sampling process, and earlier body-based and edge-based approaches emerge automatically on applying the right<jats:italic>a priori</jats:italic>probability maps. In addition, the limitations of the earlier regular sampling technique have been clarified and eased—with the result that sampling patterns are better matched to the positions of the image boundaries. These methods lead to improved speeds of operation both in the cases where all the objects in an image have to be located and also where the positions of individual objects have to be updated. Finally, the method is interesting in being intrinsically able to perform full binary search tree edge location without the need for explicit programming.</jats:p> |
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| description | <jats:title>A Generalised Approach to the use of Sampling for Rapid Object Location</jats:title><jats:p>This paper has developed a generalised sampling strategy for the rapid location of objects in digital images. In this strategy<jats:italic>a priori</jats:italic>information on the possible locations of objects is used to guide the sampling process, and earlier body-based and edge-based approaches emerge automatically on applying the right<jats:italic>a priori</jats:italic>probability maps. In addition, the limitations of the earlier regular sampling technique have been clarified and eased—with the result that sampling patterns are better matched to the positions of the image boundaries. These methods lead to improved speeds of operation both in the cases where all the objects in an image have to be located and also where the positions of individual objects have to be updated. Finally, the method is interesting in being intrinsically able to perform full binary search tree edge location without the need for explicit programming.</jats:p> |
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| spelling | Davies, E. 1641-876X Walter de Gruyter GmbH Applied Mathematics Engineering (miscellaneous) Computer Science (miscellaneous) http://dx.doi.org/10.2478/v10006-008-0001-3 <jats:title>A Generalised Approach to the use of Sampling for Rapid Object Location</jats:title><jats:p>This paper has developed a generalised sampling strategy for the rapid location of objects in digital images. In this strategy<jats:italic>a priori</jats:italic>information on the possible locations of objects is used to guide the sampling process, and earlier body-based and edge-based approaches emerge automatically on applying the right<jats:italic>a priori</jats:italic>probability maps. In addition, the limitations of the earlier regular sampling technique have been clarified and eased—with the result that sampling patterns are better matched to the positions of the image boundaries. These methods lead to improved speeds of operation both in the cases where all the objects in an image have to be located and also where the positions of individual objects have to be updated. Finally, the method is interesting in being intrinsically able to perform full binary search tree edge location without the need for explicit programming.</jats:p> A Generalised Approach to the use of Sampling for Rapid Object Location International Journal of Applied Mathematics and Computer Science |
| spellingShingle | Davies, E., International Journal of Applied Mathematics and Computer Science, A Generalised Approach to the use of Sampling for Rapid Object Location, Applied Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous) |
| title | A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_full | A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_fullStr | A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_full_unstemmed | A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_short | A Generalised Approach to the use of Sampling for Rapid Object Location |
| title_sort | a generalised approach to the use of sampling for rapid object location |
| title_unstemmed | A Generalised Approach to the use of Sampling for Rapid Object Location |
| topic | Applied Mathematics, Engineering (miscellaneous), Computer Science (miscellaneous) |
| url | http://dx.doi.org/10.2478/v10006-008-0001-3 |