Presentation by Marco Lam: “Creating the medial axis transform for billions of lidar points using a memory efficient method”
Date and time: 27 januari 10.45
Location: Room T, Architecture, TU Delft
Pointclouds in its current form is well suited for visualization and certain forms of analysis, as the 3D points are the outer boundary of objects. The Medial Axis Transform (MAT) is another way to represent these objects. As it represents the inner/outer skeleton of the objects some features become more easily detectable and it could be used as a tool in point cloud analysis. This thesis focuses on the scaling of the MAT to make it work on massive datasets while keeping it efficient in terms of memory usage and process time.
my Professor: Prof.dr. J.E. Stoter
my Supervisor: Ir. R. Peters
my Coreader: Ir. P. Nourian