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Statements

Subject Item
n2:RIV%2F00216275%3A25530%2F14%3A39898481%21RIV15-MSM-25530___
rdf:type
skos:Concept n10:Vysledek
rdfs:seeAlso
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6923303&queryText%3DProjection+of+Point+Cloud+for+Basic+Object+Detection
dcterms:description
Point cloud represents the set of measured points. Several methods for point cloud projection have already been proposed. These methods process measured points without angle rotation. We, however, believe that rotations of measurement points simplify whole object detection process. We propose to unfold a measured point cloud of indoor 3D space into single plane with preservation of height dimension. For unfolding of measured points we are using a suitable rotation matrix. This simplification allows to use a simpler methods for object detection. Described algorithm has been verified on several examples - indoor rooms. Point cloud represents the set of measured points. Several methods for point cloud projection have already been proposed. These methods process measured points without angle rotation. We, however, believe that rotations of measurement points simplify whole object detection process. We propose to unfold a measured point cloud of indoor 3D space into single plane with preservation of height dimension. For unfolding of measured points we are using a suitable rotation matrix. This simplification allows to use a simpler methods for object detection. Described algorithm has been verified on several examples - indoor rooms.
dcterms:title
Projection of Point Cloud for Basic Object Detection Projection of Point Cloud for Basic Object Detection
skos:prefLabel
Projection of Point Cloud for Basic Object Detection Projection of Point Cloud for Basic Object Detection
skos:notation
RIV/00216275:25530/14:39898481!RIV15-MSM-25530___
n3:aktivita
n15:S
n3:aktivity
S
n3:dodaniDat
n13:2015
n3:domaciTvurceVysledku
Kudriavtseva, Nataliia n11:8148775 n11:2787369
n3:druhVysledku
n19:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n14:predkladatel
n3:idSjednocenehoVysledku
40182
n3:idVysledku
RIV/00216275:25530/14:39898481
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Object detection; Rotation matrix; Point cloud
n3:klicoveSlovo
n5:Point%20cloud n5:Rotation%20matrix n5:Object%20detection
n3:kontrolniKodProRIV
[492C148113D7]
n3:mistoKonaniAkce
Zadar
n3:mistoVydani
Los Alamitos
n3:nazevZdroje
56th International Symposium ELMAR-2014
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n13:2014
n3:tvurceVysledku
Chmelař, Pavel Kudriavtseva, Nataliia Beran, Ladislav
n3:typAkce
n7:WRD
n3:zahajeniAkce
2014-09-10+02:00
s:numberOfPages
4
n20:doi
10.1109/ELMAR.2014.6923303
n21:hasPublisher
IEEE (Institute of Electrical and Electronics Engineers)
n6:isbn
978-953-184-199-3
n12:organizacniJednotka
25530