PCL-TRCS is ready to start! Due to the extreme level of interest, we have received an impressive number of great applications, and therefore have decided to bump the number of projects/slots to 8. It is therefore our pleasure to announce the dream team that will be working on TRCS for the next 3-6 months!
- Frits J. Florentinus, from Eindhoven University of Technology, will be working on automated noise filtering during TRCS. Frits has been responsible for an implementation of the classical Lu and Milios alignment implementation as well as other scan matching techniques in PCL's registration library.
- Mattia Di Gaetano, from Polytechnic University of Ancona, and Technical University of Denmark, will be working on automated noise filtering for TRCS. Mattia has been using PCL in the past, but this will be his first contribution as a developer.
- Aravindhan K Krishnan, from Arizona State University. Aravindhan has already been a PCL developer for a while now, and he will be working on automated point cloud registration during TRCS.
- Thomas Mörwald, from Vienna University of Technology. Thomas has joined the PCL development team recently and has already been pushing the core functionality towards NURBS fitting, among other contributions. During TRCS, Thomas will be working on best fit feature estimation.
- Justin Rosen, one of our PCL developer veterans, will be working on out of core techniques for massive point cloud datasets. Justin has already been involved and co-developed code in PCL dealing with octree structures, visualization, as well as filtering techniques for large datasets.
- Shaohui Sun, from Rochester Institute of Technology (RIT), will be working on change detection. Shaohui brings an extensive experience on volume reconstruction and 3D registration methods from his own research work at RIT.
- Alexander Velizhev and Sergey Ushakov, from Moscow State University. Alexander and Roman Shapovalov are part of the old GSOC 2011 crew and they have already made contributions to PCL in the area of 3D keypoints and descriptors estimation. During TRCS, Alexander and Sergey will be working on automated feature extraction. Their plan is to incorporate a novel region growing algorithm as well as object extraction via graphcuts from point cloud data.
- Ping Yang, from Idaho State University, will be working on automated decimation. Ping brings a lot of experience on open source GIS software (see his web page for more details).
We would like to thank all the other candidates for their excellent proposals! We already started following up with each of them individually, as this is just our second code sprint and there are many more to come!
[Note: the new blogging page for TRCS will be up within the next few days at http://pointclouds.org/blog/trcs/.]