Previous Pointcloud Workshop Presentations
- Deep Learning for Semantic Segregation of 2D and 3D Data: Dr Michael Ying Yang
- Spatial Intelligence and Virtual Restoration of Grotto Statues: Professor Miaole Hou
- Construction Monitoring using LiDAR Technology: Professor Zhizhong Kang
- Creating a Voxel Structure for 3D Point Cloud processing with Python: Florent Poux
- Project INDIGO - document, disseminate & analyse a graffiti-scape (external link): Benjamin Wild
- LiDAR for Self-driving Vehicles and Traditional Heritage Documentation: A/Prof Kourosh Khoshelham
- Saliency Based Processing of 3D Pointclouds: Reuma Arav
- Current LiDAR projects: Dr Jack Barton
- Real-time Construction Progress Monitoring Through Robotic Field Mapping: Mohammad Hashim Ibrahimkhil
- 3D Urban Tree Modelling from Pointclouds for Urban Microclimate Simulation: Han Xu
- Representing Dynamic Realities with Pointcloud Models: A Teaching Approach: Dr Carlos Bartesaghi Koc
- Using Synthetic LiDAR Data for Pedestrian Detection: Mitko Aleksandrov
- 3D indoor reconstruction: Dr Shayan Nikoohemat
- Points, Clouds, Beams: Taskin Özkan
- A Comparison of Deep Learning Methods for Airborne LiDAR Pointcloud Classification: Nan Li
- Grammar treatment for Pointcloud: Josafat Guerrero
- Digital Adoption in Efficiency Improvement in Prefabricated Construction: Mudan Wang
- Open Source Photogrammetric Software: Harshit
- Automated 3D Vegetation Modelling of Heathland in the Blue Mountains: Nina Homainejad
- Two New Pedestrian Navigation Path Options based on Semi indoor Space: Jinjin Yan