Shaggyshak / CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-VisualizationLinks
Visual inspection of bridges is customarily used to identify and evaluate faults. However, current procedures followed by human inspectors demand long inspection times to examine large and difficult to access bridges. To address these limitations, we investigate a computer vision‐based approach that employs SIFT keypoint matching on collected im…
☆20Updated 6 years ago
Alternatives and similar repositories for CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization
Users that are interested in CS543_project_Image-based-Localization-of-Bridge-Defects-with-AR-Visualization are comparing it to the libraries listed below
Sorting:
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- CNN for crack classification, intended for use in a crack inspection pipeline (see references).☆41Updated 5 years ago
- A minimalistic GUI for crack detection on concrete using deep learning☆12Updated 5 years ago
- Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backen…☆11Updated 5 years ago
- ☆11Updated 7 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆57Updated 5 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆45Updated 4 years ago
- LabelMeFacade Dataset☆20Updated 8 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆63Updated 3 years ago
- Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.☆29Updated 5 years ago
- This repository focuses on the automation of blade inspection, using different Computer Vision (CV) approaches and methods to detect dama…☆32Updated 5 years ago
- A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CN…☆21Updated 7 years ago
- Cool Vision projects☆81Updated 7 years ago
- A CNN (Convolutional Neural Network) model to automatically classify images of building construction that show deficient work, with crack…☆18Updated 5 years ago
- A simple Python API for single camera calibration using opencv☆68Updated 7 years ago
- Feature Detection and Description with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK using Python and OpenCV☆47Updated 5 years ago
- Matlab codes for concrete crack detection using TuFF☆13Updated 10 years ago
- A model-based visual tracking approach for indoor localisation using a 3D building model☆13Updated 6 years ago
- Image key points Extraction, Description, Feature Matching☆23Updated 3 years ago
- ☆11Updated 5 years ago
- Term 1, Project 5 - Udacity Self Driving Car Nanodegree☆20Updated 7 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆151Updated 11 months ago
- A softeware for image based building modeling.☆14Updated 10 years ago
- Implementation based on SFMedu Princeton COS429: Computer Vision http://vision.princeton.edu/courses/SFMedu/ but on python + numpy☆32Updated 6 years ago
- GLCM，logistic fuction , OTSU , matlab，horizon detection in maritime， sea and sky segmentation☆12Updated 5 years ago
- Crack detection for concrete structure using Matlab☆32Updated 8 years ago
- ☆33Updated last year
- ☆24Updated 6 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆85Updated 6 years ago
- Detects vanishing points in an image☆22Updated 7 years ago