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3D Reconstruction through Segmentation of Multi-View Image Sequences
Leung, Carlos and Lovell, Brian C. (2003). 3D Reconstruction through Segmentation of Multi-View Image Sequences. In: Brian C. Lovell and Anthony J. Maeder, Proceedings of the 2003 APRS Workshop on Digital Image Computing. Workshop on Digital Image Computing, Brisbane, (87-92). 7 February, 2003.
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| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
n87.pdf
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n87.pdf |
application/pdf |
182.05KB |
847 |
| Author(s) |
Leung, Carlos Lovell, Brian C.
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| Title of paper |
3D Reconstruction through Segmentation of Multi-View Image Sequences
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| Conference name |
Workshop on Digital Image Computing
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| Conference location |
Brisbane
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| Conference dates |
7 February, 2003
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| Proceedings title |
Proceedings of the 2003 APRS Workshop on Digital Image Computing
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| Editor(s) |
Brian C. Lovell Anthony J. Maeder
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| Place published |
Brisbane
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| Publisher |
Australian Pattern Recognition Society
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| Publication date |
2003
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| Volume number |
1
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| Issue number |
1
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| ISBN |
0-9580255-2-5
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| Start page |
87
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| End page |
92
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| Total pages |
6
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| Language |
eng
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| Abstract/Summary |
We propose what we believe is a new approach to 3D reconstruction through the design of a 3D voxel volume, such that all the image information and camera geometry are embedded into one feature space. By customising the volume to be suitable for segmentation, the key idea that we propose is the recovery of a 3D scene through the use of globally optimal geodesic active contours. We also present an extension to this idea by proposing the novel design of a 4D voxel volume to analyse the stereo motion problem in multi-view image sequences.
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| Subjects |
280208 Computer Vision
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| Keyword(s) |
iris-research reconstruction 3D
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