An object detection framework to detect planes in aerial images
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Updated
Nov 26, 2023 - Jupyter Notebook
An object detection framework to detect planes in aerial images
A digital garden created with Unity and Vuforia
experiments with terrain
A pipeline to implement surface merge using region growing technique
Semester project for my 3D Computer Geometry & Vision course.
Point Cloud Library Tutorial with ROS
PlaneFill: Fast Normal Map Generation and Plane Detection from Depth Images
Programming with classes some planes with altitude and latitude
Creating a simple air control by the object-programming
Parallel RANSAC for plane detection for multiple point clouds using Python and CUDA
A toy project of using voice to tell a Turtlebot Robot to detect and move to target, achieved by 4 components (1) speech classification, (2) object detection, (3) plane detection, and (4) control of wheel motion.
Computer Vision
A collection of dockers for plane detection methods for RGBD data
3D reconstruction and Plane detection using plane-to-plane homography constraints for uncalibrated image pair under Manhattan World Assumption.
Put objects on a plane. Use depth camera to find them and add label (for training Yolo).
Plane detection with CGAL region growing algorithm
A python node to detect planes from depth image by using RANSAC algorithm. Input/Output from/to ROS topics.
[CVPR 2024] AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings
Source code for "Eigen-Factors an Alternating Optimization for Back-end Plane SLAM of 3D Point Clouds"
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