Three-dimensional machine vision
Three-dimensional machine vision
Surface Reflection: Physical and Geometrical Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Spectrum
A survey of automated visual inspection
Computer Vision and Image Understanding
Better optical triangulation through spacetime analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
3D Surface Inspection using Coupled HMMs
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
3D surface analysis using coupled HMMs
Machine Vision and Applications
Visual inspection of machined metallic high-precision surfaces
EURASIP Journal on Applied Signal Processing
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This paper proposes an approach for acquisition and reconstruction of 3D surface data of raw steel blocks in harsh industrial environments. The surface reflection properties are changing strongly since the steel blocks are partially covered with scale. Due to this fact we abandon intensity imaging and resort to range imaging approaches in particular light sectioning. This provides more reliable surface data. However, a slower acquisition rate and geometric distortions caused by vibrations of the steel block on the conveyor are detriments. We provide an approach for the reconstruction of the 3D surface using geometric transformation. Additionally, we suggest two methods based on spline interpolation and singular value decomposition for recovering the depth map of the inspected good.