Direkt zum Inhalt springen
Computer Vision Group
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

Home Members Frank Steinbrücker


This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Last revision Both sides next revision
members:steinbrf [2014/02/18 16:48]
members:steinbrf [2014/02/18 16:53]
Line 18: Line 18:
 === Dense Mapping of large RGB-D Sequences === === Dense Mapping of large RGB-D Sequences ===
 +In my publication at ICCV 2013 I describe a method for the volumetric fusion of large RGB-D sequences. The video below shows the mesh visualization of our office floor, a scene computed from more than 24.000 RGB-D images captured with the Asus Xtion sensor. The reconstruction run at more than 200 Hz on a GTX680. The finest resolution was 5mm and the entire scene fit into approximately 2.5 GB of GPU RAM, including color.
 <​html><​center><​iframe width="​640"​ height="​360"​ src="//​www.youtube.com/​embed/​J37f9vH-CPc"​ frameborder="​0"​ allowfullscreen></​iframe></​center></​html>​ <​html><​center><​iframe width="​640"​ height="​360"​ src="//​www.youtube.com/​embed/​J37f9vH-CPc"​ frameborder="​0"​ allowfullscreen></​iframe></​center></​html>​

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching