Vector curve representation for progressive transmission

JunJiu Liu; Chen Zhou; Wei Chen

doi:10.1117/12.2634490

12 May 2022 Vector curve representation for progressive transmission

JunJiu Liu, Chen Zhou, Wei Chen

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731Y (2022) https://doi.org/10.1117/12.2634490
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

To provide flexible and efficient geographic information services, a new asymptotic transmission method based on a linear binary line generalization (BLG) tree storage structure was proposed. First, we used a BLG tree to store all the hierarchical simplification results of the dynamic programming (DP) algorithm and modify the sub-node offsets. Then, we set different target scales and calculated the average distance between neighboring feature points to filter out the appropriate feature points. Finally, the protein inference algorithm (PIA) iteratively approximated the set using three non-uniform B-sample curves to improve the accuracy. The experiment results proved that the proposed could effectively improve the network transmission efficiency of vector map data.

Citation Download Citation

JunJiu Liu, Chen Zhou, and Wei Chen "Vector curve representation for progressive transmission", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731Y (12 May 2022); https://doi.org/10.1117/12.2634490

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