Scheduling level of detail with guaranteed quality and cost

Abstract

This paper presents a framework for handling and on-the-fly generation of levels of detail. The application directly controls the trade-off between the amount of resources to be used and the accuracy of the final images. The basis for this choice is an accuracy curve which explicates the trade-off. This curve is calculated and updated hierarchically, which makes it especially suited for use with a scene graph. Integration of the framework with VRML is described. Measurements on our prototype implementation show that target resource loads and accuracies can adequately be reached.

Comparing simplification and image-based techniques for 3D client-server rendering systems

“…Our more recent work focused on dynamic simplification of a virtual scene and resource allocation, using the model derived in this paper. Results on this have already been published [53].…”

“…More accurate measures are probably highly dependent on the specific task at hand and cannot be solved at the general level of our model. Instead, we suggest propagating these issues to the application layer [53].…”

“…It remains to be seen whether our approximations are sufficient and more elaborate models have to be developed to come to a more accurate comparison. For our validation, we used a prototype system [53] that uses the model to schedule the available resources in the client to the various virtual objects in the scene. In this system, many problems have been only partially resolved, such as latency variations, caching problems, texture memory limitations, absence of geometry compression, and lack of texture support for simplified polygon objects.…”

Distributed low-latency rendering for mobile AR

“…Again this target is met accurately, and the SNR is quite stable around 10dB. More details can be found in [27]. Figure 11.…”

“…Many details, optimizations and exceptions have to be taken into account. For more details, the interested reader is referred to [25,27].…”