Fakultät Informatik

Efficient image reconstruction for point-based and line-based rendering

 Ricardo Marroquim,  Martin Kraus,  Paulo Roma Cavalcanti

Universidade Federal do Rio de Janeiro, Brazil
Computer Graphics and Visualization Group, Technische Universität München, Germany


We address the problem of an efficient image-space reconstruction of adaptively sampled scenes in the context of point-based and line-based graphics. The imagespace reconstruction offers an advantageous time complexity compared to surface splatting techniques and, in fact, our improved GPU implementation performs significantly better than splatting implementations for large point-based models. We discuss the integration of elliptical Gaussian weights for enhanced image quality and generalize the image-space reconstruction to line segments. Furthermore, we present solutions for the efficient combination of points, lines, and polygons in a single image.

Associated publications

Efficient image reconstruction for point-based and line-based rendering
Ricardo Marroquim, Martin Kraus, and Paulo Roma Cavalcanti, Computer and Graphics 32(2):189-203, 2008 [Bibtex]



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.