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3D acquisition of mirroring objects

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons45592

Tarini,  Marco
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44911

Lensch,  Hendrik P. A.
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44506

Gösele,  Michael
Computer Graphics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45449

Seidel,  Hans-Peter
Computer Graphics, MPI for Informatics, Max Planck Society;

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Fulltext (public)

2003-4-001
(Any fulltext), 11KB

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Citation

Tarini, M., Lensch, H. P. A., Gösele, M., & Seidel, H.-P.(2003). 3D acquisition of mirroring objects (MPI-I-2003-4-001). Saarbrücken: Max-Planck-Institut für Informatik.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-6AF5-F
Abstract
Objects with mirroring optical characteristics are left out of the scope of most 3D scanning methods. We present here a new automatic acquisition approach, shape-from-distortion, that focuses on that category of objects, requires only a still camera and a color monitor, and produces range scans (plus a normal and a reflectance map) of the target. Our technique consists of two steps: first, an improved environment matte is captured for the mirroring object, using the interference of patterns with different frequencies in order to obtain sub-pixel accuracy. Then, the matte is converted into a normal and a depth map by exploiting the self coherence of a surface when integrating the normal map along different paths. The results show very high accuracy, capturing even smallest surface details. The acquired depth maps can be further processed using standard techniques to produce a complete 3D mesh of the object.