3D reconstruction of point clouds using multi-view orthographic projections
Author
Topçu, Osman
Advisor
Onural, Levent
Date
2006Publisher
Bilkent University
Language
English
Type
ThesisItem Usage Stats
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Abstract
A method to reconstruct 3D point clouds using multi-view orthographic projections is
examined. Point clouds are generated by means of a stochastic process. This stochastic
process is designed to generate point clouds that mimic microcalcification formation in
breast tissue. Point clouds are generated using a Gibbs sampler algorithm. Orthographic
projections of point clouds from any desired orientation are generated. Volumetric
intersection method is employed to perform the reconstruction from these orthographic
projections. The reconstruction may yield erroneous reconstructed points. The types of
these erroneous points are analyzed along with their causes and a performance measure
based on linear combination is devised. Experiments have been designed to investigate
the effect of the number of projections and the number of points to the performance of
reconstruction. Increasing the number of projections and decreasing the number of points
resulted in better reconstructions that are more similar to the original point clouds.
However, it is observed that reconstructions do not improve considerably upon increasing
the number of projections after some number. This method of reconstruction serves well
to find locations of original points.
Keywords
3D reconstructionVisual hull
Shape from silhouettes
Volumetric intersection
Point clouds
Gibbs sampler
Orthographic projection