An object detection framework to detect planes in aerial images

Computer Vision

A foundational dive into 3D vision, this project served as my hands-on introduction to processing point clouds with Open3D. I focused on core skills like plane detection, segmentation, and understanding 3D transformations from the ground up.

Programming with classes some planes with altitude and latitude

A pipeline to implement surface merge using region growing technique

PlaneFill: Fast Normal Map Generation and Plane Detection from Depth Images

A digital garden created with Unity and Vuforia

3d reconstruction and plane detection

Unity video based AR app.

Point Cloud Library Tutorial with ROS

3D reconstruction from stereo images using epipolar geometry.

experiments with terrain

Code developed for "An autonomous floor clearing strategy to tidy up unknown home environments with a mobile manipulator robot" paper and Master's thesis by Letícia dos Santos under the supervision of Jim Torresen, Mariana Kolberg, and Renan Maffei.

A high-performance implementation of 3D RANSAC (Random Sample Consensus) algorithm using PyTorch and CUDA.

Semester project for my 3D Computer Geometry & Vision course.

Creating a simple air control by the object-programming

Parallel RANSAC for plane detection for multiple point clouds using Python and CUDA

🌐 Explore 3D computer vision with Open3D and RealSense for point cloud processing, plane detection, and real-time object detection.

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.

Plane detection with CGAL region growing algorithm