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
Background
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
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