geometric-features

Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud

This project presents a Single Input Multiple Output (SIMO) deep convolutional neural network, a so-called ART-Net (Augmented Reality Tool Network) consisting of an encoder-decoder architecture to obtain the surgical tool detection, segmentation, and geometric features concurrently in an end-to-end fashion.

Official Repo for the paper "Neighborhood Normalization for Robust Geometric Feature Learning" (CVPR 2021)

Topology Optimization using Generalized Geometric Projection

Hough Transform parametric space voting accumulator for line and geometric shape detection.

Hough Transform parametric space voting accumulator for line and geometric shape detection.

Deep learning pipeline for 6D pose estimation (translation and rotation) of rigid objects from RGB-D images, based on a modified PointNet++ architecture. It leverages both geometric and image features for high-accuracy results tailored for robotic manipulation tasks.

Real-time driver drowsiness detection using facial landmarks. Detects eye closure (EAR), yawning (MAR), and head tilt simultaneously. Triggers visual alerts before fatigue-related accidents occur. Built with OpenCV and MediaPipe.

Performs PCA with optional graph distance for neighborhood composition.

Compute geometric features of a 3D point cloud from a .LAS file

This is a library that can quickly compute geometric features of large-scale point clouds.