Synthesis Project 2015-2016
Using our eyes and brains humans are able to distinguish and recognise object in static images and dynamic environments easily: people (who?), type of object (what), and characteristics such as colour, material, etc. What could computation add by using the raw point cloud datasets for direct calculations and interpretation of the data? How could interactive visualisations contribute to insight in the data?
Point Cloud datasets usually represent rich data and are collected by laser scanning technologies but also retracted from high-accurate series of photographs. In many cases, this data is translated into objects. This translation reduces the amount of data considerably, but also reduces the potential information sources available or hidden in the dataset. The question is what operations can be carried out with the ‘raw’ dataset, which would directly enrich the use of point cloud data?
The Synthesis Project Fall 2015 – 2016 focused on the direct use of point cloud data, collected by image photography or by laserscanning. Students developed uses for calculations and measurements with the original, raw data. In 2015 three parallel projects on point clouds were run.
We are proud to announce that students of one of the the projects of the Geomatics synthesis project of fall 2015-2016 wrote an article which is published in the GIM International of April 2016. In this article the authors explain their method and show their results to a broad audience. For everyone that is interested in indoor navigation, point clouds and applications of point cloud data this is recommended to read.
The article is now online. It can be read at: http://goo.gl/FKKGLU