Fakultät Informatik

Efficient Point-Based Rendering Using Image Reconstruction

 Ricardo Marroquim,  Martin Kraus,  Paulo Roma Cavalcanti

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


Image-space reconstruction of continuous surfaces from scattered one-pixel projections of points is known to potentially offer an advantageous time complexity compared to surface splatting techniques. We propose a new algorithm for hardware-accelerated image-space reconstruction using pull-push interpolation and present an efficient GPU implementation. Compared to published image-space reconstruction approaches employing the pull-push interpolation, our method offers a significantly improved image quality because of the integration of elliptic boxfilters and support for deferred Phong shading. For large point-based models, our GPU implementation is capable of rendering more than 50M points per second--including image-space reconstruction and deferred shading.

Associated publications

Efficient Point-Based Rendering Using Image Reconstruction
R. Marroquim, M. Kraus, P. Roma Cavalcanti, PBG 2007 [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.