A Multi-camera, Multi-projector Super-Resolution Framework for Structured Light
In this work, we present a framework for multi-camera, multi-projector object acquisition based on structured light. This approach allows the reconstruction of an object without moving either the object or the acquisition setup, avoiding any registration of independent measurements. To overcome the...
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Published in | 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission pp. 397 - 404 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English Japanese |
Published |
IEEE
01.05.2011
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Subjects | |
Online Access | Get full text |
ISBN | 1612844294 9781612844299 |
ISSN | 1550-6185 |
DOI | 10.1109/3DIMPVT.2011.57 |
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Summary: | In this work, we present a framework for multi-camera, multi-projector object acquisition based on structured light. This approach allows the reconstruction of an object without moving either the object or the acquisition setup, avoiding any registration of independent measurements. To overcome the resolution limitations of the individual projectors, we introduce a novel super-resolution scheme. By exploiting high dynamic range imaging, we are able to handle even complicated objects, exhibiting strong specularities. We show that, combined with an iterated bundle adjustment, these improvements increase the accuracy of the obtained point cloud. |
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ISBN: | 1612844294 9781612844299 |
ISSN: | 1550-6185 |
DOI: | 10.1109/3DIMPVT.2011.57 |