Surface Registration Markers from Range Scan Data

Rugis, John; Klette, Reinhard

doi:10.1007/11774938_34

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Shading Coded Similarity Curvature1

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2006

2024

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Cited by 3 publications

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“…Shading coded values for similarity curvature can also be used to color each surface point on test objects. Shading coded curvature maps have been introduced in previous work by the authors [8,9]. A shading coded similarity curvature map for each of the test shapes is shown in Figure 9.…”

Section: Shading Coded Similarity Curvaturementioning

confidence: 99%

A Scale Invariant Surface Curvature Estimator

Rugis

Klette

2006

Advances in Image and Video Technology

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Section: Shading Coded Similarity Curvaturementioning

confidence: 99%

A Scale Invariant Surface Curvature Estimator

Rugis

Klette

2006

Advances in Image and Video Technology

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Three-dimensional point cloud alignment detecting fiducial markers by structured light stereo imaging

Barone

Paoli

Razionale

2011

Machine Vision and Applications

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In recent years, various methodologies of shape reconstruction have been proposed with the aim at creating Computer-Aided Design models by digitising physical objects using optical sensors. Generally, the acquisition of 3D geometrical data includes crucial tasks, such as planning scanning strategies and aligning different point clouds by multiple view approaches, which differ for user's interaction and hardware cost. This paper describes a methodology to automatically measure three-dimensional coordinates of fiducial markers to be used as references to align point clouds obtained by an active stereo vision system based on structured light projection. Intensity-based algorithms and stereo vision principles are combined to detect passive fiducial markers localised in a scene. 3D markers are uniquely recognised on the basis of geometrical similarities. The correlation between fiducial markers and point clouds allows the digital creation of complete object surfaces. The technology has been validated by experimental tests based on nominal benchmarks and reconstructions of target objects with complex shapes

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