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

Background

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.