A 3D Imaging Framework Based on High-Resolution Photometric-Stereo and Low-Resolution Depth

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This paper introduces a 3D imaging framework that combines high-resolution photometric stereo and low-resolution depth. Our approach targets imaging scenarios based on either macro-lens photography combined with focal stacking or a large-format camera that are able to image objects with more than 600 samples per mm. These imaging techniques allow photometric stereo algorithms to obtain surface normals at resolutions that far surpass corresponding depth values obtained with traditional approaches such as structured-light, passive stereo, or depth-from-focus. Our work offers two contributions for 3D imaging based on these scenarios. The first is a multi-resolution, patched-based surface reconstruction scheme that can robustly handle the significant resolution difference between our surface normals and depth samples. The second is a method to improve the initial normal estimation by using all the available focal information for images obtained using a focal stacking technique.
Publisher
SPRINGER
Issue Date
2013-03
Language
English
Article Type
Article
Keywords

SHAPE; FOCUS

Citation

INTERNATIONAL JOURNAL OF COMPUTER VISION, v.102, no.1-3, pp.18 - 32

ISSN
0920-5691
DOI
10.1007/s11263-012-0589-5
URI
http://hdl.handle.net/10203/173483
Appears in Collection
EE-Journal Papers(저널논문)
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