[go: up one dir, main page]

Beckman et al., 2019 - Google Patents

Deep learning-based automatic volumetric damage quantification using depth camera

Beckman et al., 2019

View PDF
Document ID
6875389415957761123
Author
Beckman G
Polyzois D
Cha Y
Publication year
Publication venue
Automation in Construction

External Links

Snippet

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 concrete spalling damage automatically, the first step is to detect (ie, identify) the concrete …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30248—Vehicle exterior or interior
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical means
    • G01B11/24—Measuring arrangements characterised by the use of optical means for measuring contours or curvatures
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/19—Recognition of objects for industrial automation

Similar Documents

Publication Publication Date Title
Beckman et al. Deep learning-based automatic volumetric damage quantification using depth camera
Zhong et al. Multi-scale feature fusion network for pixel-level pavement distress detection
Morgenthal et al. Framework for automated UAS-based structural condition assessment of bridges
Yan et al. Estimation of building height using a single street view image via deep neural networks
Attard et al. Tunnel inspection using photogrammetric techniques and image processing: A review
Kim et al. Automated concrete crack evaluation using stereo vision with two different focal lengths
Koch et al. Achievements and challenges in machine vision-based inspection of large concrete structures
Fathi et al. Automated as-built 3D reconstruction of civil infrastructure using computer vision: Achievements, opportunities, and challenges
Wang et al. Automated estimation of reinforced precast concrete rebar positions using colored laser scan data
Xue et al. Novel SfM-DLT method for metro tunnel 3D reconstruction and Visualization
Chen et al. Estimating construction waste truck payload volume using monocular vision
Arezoumand et al. Automatic pavement rutting measurement by fusing a high speed-shot camera and a linear laser
US10930013B2 (en) Method and system for calibrating imaging system
US20160133007A1 (en) Crack data collection apparatus and server apparatus to collect crack data
Mirzazade et al. Semi-autonomous inspection for concrete structures using digital models and a hybrid approach based on deep learning and photogrammetry
Ulvi Using UAV photogrammetric technique for monitoring, change detection, and analysis of archeological excavation sites
Lin et al. A novel approach for pavement distress detection and quantification using RGB-D camera and deep learning algorithm
Motayyeb et al. Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades
Shan et al. Feasibility of Accurate Point Cloud Model Reconstruction for Earthquake‐Damaged Structures Using UAV‐Based Photogrammetry
CN105023270A (en) Proactive 3D stereoscopic panorama visual sensor for monitoring underground infrastructure structure
Karantanellis et al. Evaluating the quality of photogrammetric point-clouds in challenging geo-environments–a case study in an Alpine Valley
Dow et al. 3D reconstruction and measurement of concrete spalling using near-field Photometric stereo and YOLOv8
Montgomerie et al. Validation study of three-dimensional scanning of footwear impressions
Ali et al. Monocular computer vision-based simultaneous pothole segmentation and 3d volume prediction using 3dpredictnet
Hu et al. A high-resolution surface image capture and mapping system for public roads