Detection of deterioration of furnace walls using large-scale point-clouds

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Computer-aided Design and Applications

• Publication date

  2017-08-10

• Fields of study

  Materials Science, Computer Science, Engineering

• Identifiers
  DOI 10.1080/16864360.2017.1419645
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• ANALYSIS, THEMATIC MAPS AND DATA MINING FROM POINT CLOUD TO ONTOLOGY FOR SOFTWARE DEVELOPMENT

  2016cited by this paper
• Reconstruction of Polygonal Faces from Large-Scale Point-Clouds of Engineering Plants

  2014cited by this paper
• Quantitative scaling evaluation of concrete structures based on terrestrial laser scanning

  2013cited by this paper
• As-built modeling of piping system from terrestrial laser-scanned point clouds using normal-based region growing

  2013cited by this paper
• Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST

  2010cited by this paper
• As-Built 3D Modeling of Large Facilities Based on Interactive Feature Editing

  2010cited by this paper
• SmartBoxes for interactive urban reconstruction

  2010cited by this paper
• Extraction of Surface Primitives from Noisy Large-Scale Point-Clouds

  2009cited by this paper
• Efficient RANSAC for Point‐Cloud Shape Detection

  2007cited by this paper
• Advanced surface fitting techniques

  2002cited by this paper
• Faithful Least-Squares Fitting of Spheres, Cylinders, Cones and Tori for Reliable Segmentation

  1998cited by this paper

• 3D Model Generation from Point Clouds of Large-Scale Structures

  2025cites this paper
• Vision-based spatial damage localization method for autonomous robotic laser cladding repair processes

  2023cites this paper
• Detection of Multiscale Deterioration from Point-Clouds of Furnace Walls

  2023cites this paper
• A Novel Deep Learning-based Automatic Damage Detection and Localization Method for Remanufacturing/Repair

  2021cites this paper
• Intelligent and Automatic Inspection, Reconstruction and Process Planning Methods for Remanufacturing and Repair

  2021cites this paper
• POINT-BASED VIRTUAL ENVIRONMENT FOR SUPPORTING DETERIORATION DIAGNOSYS OF PRODUCTION FACILITIES

  2018cites this paper