27 January 2006 4D data processing for dynamic human body analysis
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Abstract
It is expected that the next generation of full 3D optical scanning systems will be able to measure volumetric objects in motion. Standard data representations like point clouds or sets of triangle meshes, which are used nowadays for static 3D objects, will no longer be an efficient solution in this field. Systems of this kind will have to use other data processing and representation methods. We propose our own solution in this paper, using an arbitrary full 3D mesh which is scaled and wrapped around a merged point cloud obtained from the measurements, instead of a standard point cloud representation. This solution was specifically prepared for a prototype of a full-field 4D scanning system. This system is based on a dynamic laser triangulation. Four scanners capture a surface of a moving object from four different directions simultaneously. They are calibrated in time and space so finally we can obtain a full 3D object surface which changes in time. In this paper we present some details of the scanning system, 4D surface representation, general 4D data processing pipeline, developed algorithms and we finally show some exemplary results of our work in this field.
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Robert Sitnik, Artur Filipczak, Marcin Witkowski, Walter Rapp, Bart Haex, "4D data processing for dynamic human body analysis", Proc. SPIE 6056, Three-Dimensional Image Capture and Applications VII, 60560Q (27 January 2006); doi: 10.1117/12.643213; https://doi.org/10.1117/12.643213
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