Udacity Self Driving Engineer Nanodegree - Project 4 - Advanced Lane Finding
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Updated
May 1, 2017 - Python
Udacity Self Driving Engineer Nanodegree - Project 4 - Advanced Lane Finding
To extract leaf veins from scanned leaf groups.
Computer vision techniques to detect lane lines
This project is to detect lanes in a video or image and project the results on the output. advanced math and image processing including openCV was used to finish the project.
Curvature and Laplace-Beltrami estimation on triangulated surface meshes
This is a method of curvature estimation on triangular mesh
A set of tools to analyze the curvature of colon segmentations.
This repository contains the python implementation of the paper titled "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002 http://multires.caltech.edu/pubs/diffGeoOps.pdf
Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
Robust lane finding in a variety of conditions using computer vision techniques.
Mixed-curvature Variational Autoencoders (ICLR 2020)
Surface Normals and Curvature Estimation for Noisy Point Cloud Data
Translates GPS coordinates to curvature file for ChassisSim.
fiber model for the reinforced concrete section
Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)
The code for our newly accepted paper in MICCAI 2023: "Instructive Feature Enhancement for Dichotomous Medical Image Segmentation."
Python implementation of the paper "Discrete Differential-Geometry Operators for Triangulated 2-Manifolds" by Meyer et. al. VisMath 2002
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