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@ARTICLE{Scharr:838120,
author = {Scharr, Hanno and Briese, Christoph and Embgenbroich,
Patrick and Fischbach, Andreas and Fiorani, Fabio and
Müller-Linow, Mark},
title = {{F}ast {H}igh {R}esolution {V}olume {C}arving for 3{D}
{P}lant {S}hoot {R}econstruction},
journal = {Frontiers in Functional Plant Ecology},
volume = {8},
issn = {1664-462X},
address = {Lausanne},
publisher = {Frontiers Media88991},
reportid = {FZJ-2017-06824},
pages = {1680},
year = {2017},
abstract = {Volume carving is a well established method for visual hull
reconstruction and has been successfully applied in plant
phenotyping, especially for 3d reconstruction of small
plants and seeds. When imaging larger plants at still
relatively high spatial resolution (≤1 mm), well known
implementations become slow or have prohibitively large
memory needs. Here we present and evaluate a computationally
efficient algorithm for volume carving, allowing e.g., 3D
reconstruction of plant shoots. It combines a well-known
multi-grid representation called “Octree” with an
efficient image region integration scheme called “Integral
image.” Speedup with respect to less efficient octree
implementations is about 2 orders of magnitude, due to the
introduced refinement strategy “Mark and refine.”
Speedup is about a factor 1.6 compared to a highly optimized
GPU implementation using equidistant voxel grids, even
without using any parallelization. We demonstrate the
application of this method for trait derivation of banana
and maize plants.},
cin = {IBG-2},
ddc = {570},
cid = {I:(DE-Juel1)IBG-2-20101118},
pnm = {583 - Innovative Synergisms (POF3-583) / DPPN - Deutsches
Pflanzen Phänotypisierungsnetzwerk (BMBF-031A053A)},
pid = {G:(DE-HGF)POF3-583 / G:(DE-Juel1)BMBF-031A053A},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:29033961},
UT = {WOS:000411902400001},
doi = {10.3389/fpls.2017.01680},
url = {https://juser.fz-juelich.de/record/838120},
}