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

Li Tian*, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Conference article査読

5 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号1699970
ページ(範囲)837-840
ページ数4
ジャーナルProceedings - International Conference on Pattern Recognition
4
DOI
出版ステータスPublished - 2006
イベント18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
継続期間: 2006 8 202006 8 24

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識

フィンガープリント

「Voting weighted modified hausdorff distance through multiscale space for automatic image-map registration」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル