Ashtan Mistal's Projects
Tree detection, positioning, and biological family classification from airborne LiDAR data using PointNet++ and mean shift clustering.
A Markdown notetaking application built using Angular and designed using Material Design elements. Built during Winter Break of 2022-23.
A pipeline for semantic segmentation, densification, and planar flattening for improving voxelization and mesh reconstruction quality of airborne LiDAR data.
A proof-of-concept for transforming UBC's Vancouver Campus into a Minecraft world through the use of geospatial data processing and machine learning.
see PHYS_319_Final_Project.pdf.
PHYS 420 is a Physics demonstration course, where science topics are taught to secondary school students using reproducible demonstrations. This project contains the website alongside various WebGL demonstrations used during the presentation.
Dataloader for UBC campus and corresponding trained PointNet++ model for architectural semantic segmentation on aerial LiDAR data.
Rexfro Find and Replace Java Application. Allows user to specify any number of find and replace operations to be performed on any number of text documents simultaneously.
Recursive Implementation (via median split) of "Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation (CVPR 2022)"
Personal website.