University of Bahrain
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A Multi-view 3D Shape Reconstruction System using Level Sets

Show simple item record El-Melegy, Moumen T. Al-Ashwal, Nagi H. 2018-07-05T09:55:16Z 2018-07-05T09:55:16Z 2012
dc.identifier.issn 2210-142X
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 *
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.volume 01
dc.issue 01
dc.source.title International Journal of Computing and Digital Systems
dc.abbreviatedsourcetitle IJCDS

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