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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. (en)
Title
  • Projection of Point Cloud for Basic Object Detection
  • Projection of Point Cloud for Basic Object Detection (en)
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  • Projection of Point Cloud for Basic Object Detection
  • Projection of Point Cloud for Basic Object Detection (en)
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  • RIV/00216275:25530/14:39898481!RIV15-MSM-25530___
http://linked.open...avai/riv/aktivita
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  • S
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  • 40182
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  • RIV/00216275:25530/14:39898481
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  • Object detection; Rotation matrix; Point cloud (en)
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http://linked.open...ontrolniKodProRIV
  • [492C148113D7]
http://linked.open...v/mistoKonaniAkce
  • Zadar
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  • Los Alamitos
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  • 56th International Symposium ELMAR-2014
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  • Chmelař, Pavel
  • Kudriavtseva, Nataliia
  • Beran, Ladislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/ELMAR.2014.6923303
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  • IEEE (Institute of Electrical and Electronics Engineers)
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  • 978-953-184-199-3
http://localhost/t...ganizacniJednotka
  • 25530
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