Space-efficient boundary representation of volumetric objects. Accepted for publication

Abstract. In this paper we present a compression technique for efficiently repre-senting boundary objects from volumetric data-sets. Exploiting spatial coherency within object contours, we are able to reduce the size of the volumetric boundary down to the size of just a few images. Allowing for direct volume rendering of the down-scaled data in addition to compression ratios up to 250:1, interactive volume visualization becomes possible, even over the Internet and on low-end hardware.