Deep learning-based automatic volumetric damage quantification using depth camera
GH Beckman, D Polyzois, YJ Cha - Automation in Construction, 2019 - Elsevier
A depth camera or 3-dimensional scanner was used as a sensor for traditional methods to
quantify the identified concrete spalling damage in terms of volume. However, to quantify the …
quantify the identified concrete spalling damage in terms of volume. However, to quantify the …
[PDF][PDF] Deep learning-based automatic volumetric damage quantification using a depth camera
GH Beckmana, D Polyzoisb… - Automation in Construction, 2019 - researchgate.net
A depth camera or 3-dimensional scanner was used as a sensor for traditional methods to
quantify the identified concrete spalling damage in terms of volume. However, to quantify the …
quantify the identified concrete spalling damage in terms of volume. However, to quantify the …
[引用][C] Deep learning-based automatic volumetric damage quantification using depth camera
GH Beckman, D Polyzois, YJ Cha - Automation in Construction, 2019 - cir.nii.ac.jp
Deep learning-based automatic volumetric damage quantification using depth camera |
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CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …