How to Visualize Normal Vectors on 3D Point Clouds
April 11, 2019
This post will show you a good way to visualize normal vectors on 3D point clouds. At the beginning of my master’s degree, I was working on a
Research Blog
Israel Machine Vision Conference (IMVC) 2019
April 7, 2019
This was my first visit to IMVC which just celebrated 10 years of activity. I found it to be a very interesting combination of academia and industry work
Nesti-Net: Normal estimation for 3D Point Clouds
March 22, 2019
Important links: [paper], [code], ,[poster] Abstract We propose a normal estimation method for unstructured 3D point clouds. This method, called Nesti-Net, builds on a new local point cloud
Robotic Vision Summer School (RVSS) 2019
February 10, 2019
I recently accepted a research fellow position at the ANU node of the Australian Centre for Robotic Vision (ACRV) under the supervision of Prof. Stephen Gould (starting
Reasearch visit in Germany – Prof. Matthias Niessner’s Visual Computing Group (TUM)
October 12, 2018
When I started writing this post I thought it would be a chronologically ordered technical documentation of my research visit. Eventually, I found it much more coherent
3D point cloud classification – a summary of useful links
September 10, 2018
This post aims to gather all of the useful links spread across multiple posts on the topic of 3D point cloud classification. Recently we published a paper about
3DmFV-Net – 3D Point Cloud Classification in Real time using 3DmFV and CNNs
September 9, 2018
Recently we published a paper on 3D point cloud classification (and segmentation) using our proposed 3D modified Fisher Vector (3DmFV) representation and convolutional neural networks (CNNs). The preprint
What is 3D modified Fisher Vector (3DmFV) representation for 3D point clouds
September 8, 2018
Recently we published a paper about 3D point cloud classification (and segmentation) using our proposed 3D modified Fisher Vector (3DmFV) representation and convolutional neural networks (CNNs). The preprint
What is a Fisher Vector for 3D point clouds – 3D Point Cloud Classification Primer
September 4, 2018
Recently we published a paper about 3d point cloud classification (and segmentation) using our proposed 3D modified Fisher Vector (3DmFV) representation and convolutional neural networks (CNNs). The preprint
3D Point Cloud Classification and Segmentation using Modified Fisher Vector for CNN – Omek 3D Academia Conference
December 29, 2017
This Wednesday (27.12.17) I gave a talk in the Omek-3D academia conference about my work on 3D point cloud classification. The conference took place at Daniel Hotel in Herzliya, Israel.