Paper
13 September 2012 Recovering shapes of specular objects in motion via normal vector map consistency
Alexey Pak
Author Affiliations +
Abstract
We present a novel method to reconstruct the shape of a moving specular object from multiple camera images taken near a calibrated display with a known color-encoded pattern. The method is based on voxel carving exploiting the consistency of the cones of allowed normal vectors, or normal vector maps (NVMs). The algorithm is highly parallel, does not rely on pattern recognition and applies to surfaces of arbitrary complexity.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexey Pak "Recovering shapes of specular objects in motion via normal vector map consistency", Proc. SPIE 8493, Interferometry XVI: Techniques and Analysis, 84930T (13 September 2012); https://doi.org/10.1117/12.954564
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Cameras

Algorithm development

Raster graphics

Detection and tracking algorithms

Inspection

Reconstruction algorithms

Reflection

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