An object detection framework to detect planes in aerial images

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

Computer Vision

A pipeline to implement surface merge using region growing technique

Unity video based AR app.

A digital garden created with Unity and Vuforia

3d reconstruction and plane detection

Point Cloud Library Tutorial with ROS

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

3D reconstruction from stereo images using epipolar geometry.

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

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.

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