A Multi-Camera, Multi-Projector Super-Resolution Framework for Structured Light

In proceedings of 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2011 International Conference on, pages 397-404, IEEE Computer Society's Conference Publishing Services, Mai 2011
 

Abstract

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.

Stichwörter: 3d digitizing and scanning, structured light, super-resolution

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Bibtex

@INPROCEEDINGS{weinmann-2011-superresolution,
     author = {Weinmann, Michael and Schwartz, Christopher and Ruiters, Roland and Klein, Reinhard},
      pages = {397--404},
      title = {A Multi-Camera, Multi-Projector Super-Resolution Framework for Structured Light},
  booktitle = {3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2011 International
               Conference on},
       year = {2011},
      month = may,
  publisher = {IEEE Computer Society's Conference Publishing Services},
   keywords = {3d digitizing and scanning, structured light, super-resolution},
   abstract = {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.},
       isbn = {978-1-61284-429-9},
        url = {http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5955387},
        doi = {10.1109/3DIMPVT.2011.57}
}