Archive For January 18, 2017

Data Acquisition

Data Acquisition

Due to the rapid development of surveying and reality capture technologies, the acquisition of point clouds continues to become easier and faster while incurring lower costs. The evolution and expansion to a wider audience is driven mainly through scene understanding where tasks like navigation, grasping or scene manipulation are essential to its applications. Image-based reconstructions…

Data Preparation

Data Preparation

The large datasets that point clouds constitute cannot directly fit in the main memory, demanding a new structure to exploit through a Database Management System (DBMS). While the data heterogeneity rises, existing DBMS still rely on a limited number of data models to manage efficiently the variability and redundancy of the amount of observations. Handling…

Feature Computation

Feature Computation

Coming soon

Segmentation

Segmentation

Coming soon

Classification

Classification

Coming soon

Semantization

Semantization

Coming soon

Data Structure

Data Structure

Coming soon

Vizualisation

Vizualisation

Coming soon

Focus on my research

SMART POINT CLOUD Bringing intelligence to point clouds  

Smart Point Cloud

Smart Point Cloud

Dealing with coloured point cloud acquired from terrestrial laser scanner, this paper identifies remaining challenges for a new data structure: the smart point cloud. This concept arises with the statement that massive and discretized spatial information from active remote sensing technology is often underused due to data mining limitations. The generalisation of point cloud data…

Go Top