P5 Presentation by Yueqian Xu
Mentors:
Main mentor: Martijn Meijers
Second mentor: Peter van Oosterom
Co-reader: Timothy Kol (Computer Graphics)
Abstract
This research focuses on a smooth generalization of continuous 2D map based on a smooth 3D vario-scale geographical data structure. A Space Scale Cube (SSC) offers non-redundant geometric data for the different level of details. SSC model represents geographic data as a closed polyhedron, to generate a 2D map; SSC is intersected with the projection plane; resulting in a set of 2D polygons. However, problems emerge when creating maps with a large sized SSC dataset under web environment due to limited bandwidth and decoding speed. Repetitively transmitting data from the server to the client can be time and bandwidth consuming. A preprocess should be applied to a source that allows the follow-up development of an online traffic and time-saving prototype.
After preprocessing, large sized data will be subdivided based on octree algorithm to minimize transmission time from server to the client; moreover, accessible to WebGL. A prototype has been developed which enables smooth and simultaneous vario-scale map rendering against heavy user actions such as massive zooming and panning in a short period. Modified prototype schema allows query of only relevant data chunks by current viewport position; it prevents repeated loading of same chunks; what is more, repeated transmission of data from outside to GPU is eliminated. A tree structure is embedded at the client side that facilitates retrieve time. Rendering happens every frame; hence the prototype responses to heavy user actions simultaneously. Also, it can obtain coordinates in RD coordinate system by double clicking. After testing modified schema with a 9×9 dataset, fine performance of the prototype is indicated by a high average fps (57 fps) and low main memory occupation.
