Introducing the Problem

In this chapter the so-called ‘indexing problem’ of multi-line triangulation will be introduced, motivated by the example of the sensor principle Flying Triangulation (see Sect. 3.3.3 and [1, 2, 3, 4, 5]). The indexing problem is the main reason for the low efficiency of current multi-line triangulation approaches.

[1]  Daniel S. Margulies,et al.  Prioritizing spatial accuracy in high-resolution fMRI data using multivariate feature weight mapping , 2014, Front. Neurosci..

[2]  S. Ettl Introductory review on ‘Flying Triangulation’: a motion-robust optical 3D measurement principle , 2015 .

[3]  Florian Willomitzer,et al.  Improved EEG source localization employing 3D sensing by "Flying Triangulation" , 2013, Optical Metrology.

[4]  Florian Willomitzer,et al.  Hand-guided 3D surface acquisition by combining simple light sectioning with real-time algorithms , 2014, ArXiv.

[5]  Florian Willomitzer,et al.  Flying Triangulation - a Motion-Robust Optical 3D Sensor for the Real-Time Shape Acquisition of Complex Objects , 2013 .

[6]  Peter Vogt,et al.  "Flying Triangulation": A motion-robust optical 3D sensor principle , 2009 .

[7]  Florian Willomitzer,et al.  Single-shot three-dimensional sensing with improved data density , 2015 .

[8]  Florian Willomitzer,et al.  Consequences of EEG electrode position error on ultimate beamformer source reconstruction performance , 2014, Front. Neurosci..

[9]  Carles Matabosch Geronès 3D hand-held sensor for large surface registration , 2008 .

[10]  G. Häusler,et al.  Flying triangulation--an optical 3D sensor for the motion-robust acquisition of complex objects. , 2012, Applied optics.

[11]  David Fofi,et al.  Registration of surfaces minimizing error propagation for a one-shot multi-slit hand-held scanner , 2008, Pattern Recognit..

[12]  Florian Willomitzer,et al.  Management of head motion during MEG recordings with Flying Triangulation , 2013 .