ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Interactive Vegetation Rendering with Slicing and Blending

Aleks Jakulin (2000) Interactive Vegetation Rendering with Slicing and Blending. In: Eurographics 2000, 20-25 August, 2000, Interlaken, Switzerland.

[img]
Preview
PDF
Download (442Kb)

    Abstract

    Detailed and interactive 3D rendering of vegetation is one of the challenges of traditional polygon-oriented computer graphics, due to large geometric complexity even of simple plants. In this paper we introduce a simplified image-based rendering approach based solely on alpha-blended textured polygons. The simplification is based on the limitations of human perception of complex geometry. Our approach renders dozens of detailed trees in real-time with off-the-shelf hardware, while providing significantly improved image quality over existing real-time techniques. The method is based on using ordinary mesh-based rendering for the solid parts of a tree, its trunk and limbs. The sparse parts of a tree, its twigs and leaves, are instead represented with a set of slices, an image-based representation. A slice is a planar layer, represented with an ordinary alpha or color-keyed texture; a set of parallel slices is a slicing. Rendering from an arbitrary viewpoint in a 360 degree circle around the center of a tree is achieved by blending between the nearest two slicings. In our implementation, only 6 slicings with 5 slices each are sufficient to visualize a tree for a moving or stationary observer with the perceptually similar quality as the original model.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: computer graphics, real-time, vegetation, rendering
    Language of Content: English
    Related URLs:
    URLURL Type
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=3650388)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Artificial Intelligence Laboratory
    Item ID: 97
    Date Deposited: 22 Jan 2004
    Last Modified: 06 Dec 2013 15:33
    URI: http://eprints.fri.uni-lj.si/id/eprint/97

    Actions (login required)

    View Item