Embedded Voxel Colouring with Adaptive Threshold Selection Using Globally Minimal Surfaces
Venue
IJCV, vol. 99 (2012), pp. 215-231
Publication Year
2012
Authors
Carlos Leung, Ben Appleton, Mitchell Buckley, Changming Sun
BibTeX
Abstract
Image-based 3D reconstruction remains a competitive field of research as
state-of-the-art algorithms continue to improve. This paper presents a voxel-based
algorithm that adapts the earliest space-carving methods and utilises a minimal
surface technique to obtain a cleaner result. Embedded Voxel Colouring is built in
two stages: (a) progressive voxel carving is used to build a volume of embedded
surfaces and (b) the volume is processed to obtain a surface that maximises
photo-consistency data in the volume. This algorithm combines the strengths of
classical carving techniques with those of minimal surface approaches. We require
only a single pass through the voxel volume, this significantly reduces computation
time and is the key to the speed of our approach. We also specify three
requirements for volumetric reconstruction: monotonic carving order, causality of
carving and water-tightness. Experimental results are presented that demonstrate
the strengths of this approach.
