A Method for Progressive and Selective Transmission of Multi-Resolution Models

Danny S.P. To, Rynson W.H. Lau Department of Computer Science,
City University of Hong Kong
Hong Kong

Mark Green
Deptartment of Computer Science
University of Alberta
Canada

Although there are many adaptive (or view-dependent) multi-resolution methods developed, few of them consider the progressive transmission and reconstruction of the resulting models. A major reason for this is that most of these methods require large portion of the hierarchical data structure to be available at the client before rendering starts, due to the neighboring dependency constraints. Hence, an adaptive multi-resolution model cannot be constructed at the client until the complete model has been transmitted to the client. In this paper, we present an efficient multi-resolution method that allows progressive and selective transmission of multi-resolution models. This is achieved by reducing the neighboring dependency to a minimum. The new method allows visually important parts of an object to be transmitted to the client at higher priority than the less important parts and progressively reconstructed there for display. We will present the new method and discuss how it works in a client-server environment. We will also show the data structure of the transmission record and some performance results of the method.