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Sensors 2013, 13(10), 13143-13162; doi:10.3390/s131013143

Taking Advantage of Selective Change Driven Processing for 3D Scanning

1 Departament d'Informàtica, Escola Tècnica Superior d'Enginyeria, Universitat de València, Avd. de la Universidad, s/n, Burjassot, València 46100, Spain 2 Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Campus Universitat Autónoma de Barcelona, Bellaterra, Barcelona 08193, Spain
* Author to whom correspondence should be addressed.
Received: 1 August 2013 / Revised: 10 September 2013 / Accepted: 22 September 2013 / Published: 27 September 2013
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2013)
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This article deals with the application of the principles of SCD (Selective Change Driven) vision to 3D laser scanning. Two experimental sets have been implemented: one with a classical CMOS (Complementary Metal-Oxide Semiconductor) sensor, and the other one with a recently developed CMOS SCD sensor for comparative purposes, both using the technique known as Active Triangulation. An SCD sensor only delivers the pixels that have changed most, ordered by the magnitude of their change since their last readout. The 3D scanning method is based on the systematic search through the entire image to detect pixels that exceed a certain threshold, showing the SCD approach to be ideal for this application. Several experiments for both capturing strategies have been performed to try to find the limitations in high speed acquisition/processing. The classical approach is limited by the sequential array acquisition, as predicted by the Nyquist - Shannon sampling theorem, and this has been experimentally demonstrated in the case of a rotating helix. These limitations are overcome by the SCD 3D scanning prototype achieving a significantly higher performance. The aim of this article is to compare both capturing strategies in terms of performance in the time and frequency domains, so they share all the static characteristics including resolution, 3D scanning method, etc., thus yielding the same 3D reconstruction in static scenes.
Keywords: event-based vision; high-speed visual acquisition; 3D scanning event-based vision; high-speed visual acquisition; 3D scanning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Vegara, F.; Zuccarello, P.; Boluda, J.A.; Pardo, F. Taking Advantage of Selective Change Driven Processing for 3D Scanning. Sensors 2013, 13, 13143-13162.

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