Fakultät Informatik

GPU-Based Real-Time Discrete Euclidean Distance Transforms With Precise Error-Bounds

 Jens Schneider,  Martin Kraus, Rüdiger Westermann

Computer Graphics and Visualization Group,Technische Universität München, Germany


We present a discrete distance transform in style of the vector propagation algorithm by Danielsson. Like other vector propagation algorithms, the proposed method is close to exact, i.e., the error can be strictly bounded from above and is significantly smaller than one pixel. Our contribution is that the algorithm runs entirely on consumer class graphics hardware, thereby achieving a throughput of up to 96 Mpixels/s. This allows the proposed method to be used in a wide range of applications that rely both on high speed and high quality.

Selected Paper

Selected for publication in  Springer CCIS 68 as  extended version.


[.pptx, 5MB], (presented at  VISAPP 2009)


[divx .avi, 13MB] (as submitted for review)



Matthias Niessner, our new Professor from Stanford University, offers a number of interesting topics for  master theses.


PhD positions on   Computational Fabrication and 3D Printing and  Photorealistic Rendering for Deep Learning and Online Reconstruction are available at the Computer Graphics & Visualization group.