dc.contributor.author |
El-Melegy, Moumen T. |
|
dc.contributor.author |
Al-Ashwal, Nagi H. |
|
dc.date.accessioned |
2018-07-05T09:55:16Z |
|
dc.date.available |
2018-07-05T09:55:16Z |
|
dc.date.issued |
2012 |
|
dc.identifier.issn |
2210-142X |
|
dc.identifier.uri |
http://10.7.0.19:8080/xmlui/handle/123456789/208 |
|
dc.description.abstract |
The 3D reconstruction of a scene from multiple images is a fundamental problem in the field of computer vision. Existing methods can be classified into two strategies: bottom-up or top-down. This paper presents a full system for complete 3D shape reconstruction following the top-down strategy. A rotary table is employed to change a camera’s viewing direction to an object on the table. This offers a cost-effective solution to the multi-view stereo acquisition problem without the need for using several cameras. From the acquired calibrated images of the object, a variational approach is developed for 3D shape reconstruction of the object. The approach works directly in 3D Euclidean space based on a level set formulation. A correlation criterion between the 2D images is optimized by driving the evolution of |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
University of Bahrain |
en_US |
dc.rights |
Attribution-NonCommercial-ShareAlike 4.0 International |
* |
dc.rights.uri |
http://creativecommons.org/licenses/by-nc-sa/4.0/ |
* |
dc.subject |
Level set methods |
en_US |
dc.subject |
Multi-view stereo |
en_US |
dc.subject |
3D reconstruction |
en_US |
dc.title |
A Multi-view 3D Shape Reconstruction System using Level Sets |
en_US |
dc.type |
Article |
en_US |
dc.identifier.doi |
http://dx.doi.org/10.12785/IJCDS/010105 |
|
dc.volume |
01 |
|
dc.issue |
01 |
|
dc.source.title |
International Journal of Computing and Digital Systems |
|
dc.abbreviatedsourcetitle |
IJCDS |
|