Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The purpose of image-map registration is to revise the digital map included in Geographic Information System (GIS) with aerial image. The traditional method for this task requires the manual selection of tie points in both image and map. In this study, we propose a distance measure named Voting Weighted Modified Hausdorff Distance (VWMHD) for this task. In order to overcome the differences in representations between image and map in urban area, after several times of edge extraction through multiscale space, we give weights to each edge point in the initial scale based on its voting times and then compute the VWMHD for registration. The experimental results implicate that our VWMHD can provide sufficient information for automatic image-map registration and is robust to noises.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
Pages837-840
Number of pages4
Volume4
DOIs
Publication statusPublished - 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: 2006 Aug 202006 Aug 24

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period06/8/2006/8/24

Fingerprint

Geographic information systems
Antennas

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture

Cite this

Tian, L., & Kamata, S. (2006). Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration. In Proceedings - International Conference on Pattern Recognition (Vol. 4, pp. 837-840). [1699970] https://doi.org/10.1109/ICPR.2006.1184

Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration. / Tian, Li; Kamata, Seiichiro.

Proceedings - International Conference on Pattern Recognition. Vol. 4 2006. p. 837-840 1699970.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tian, L & Kamata, S 2006, Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration. in Proceedings - International Conference on Pattern Recognition. vol. 4, 1699970, pp. 837-840, 18th International Conference on Pattern Recognition, ICPR 2006, Hong Kong, China, 06/8/20. https://doi.org/10.1109/ICPR.2006.1184
Tian L, Kamata S. Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration. In Proceedings - International Conference on Pattern Recognition. Vol. 4. 2006. p. 837-840. 1699970 https://doi.org/10.1109/ICPR.2006.1184
Tian, Li ; Kamata, Seiichiro. / Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration. Proceedings - International Conference on Pattern Recognition. Vol. 4 2006. pp. 837-840
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