JOURNAL ARTICLE

Network Active Shape Model for Updating Road Map from Aerial Images

Abstract

We propose to use an active shape model for correcting a road map in a stable manner. Active shape model can deform itself preserving the given basic shape by restricting the deformation to an affine transformation. In order to consider the topological connections for road maps, we extend the active shape model to network active shape model. It allows to deform road network globally preserving a topology of road network. By iterating the deformation step, road network is refined gradually. Experimental results will show that proposed method can refine the existing road map correctly by fitting aerial image.

Keywords:
Affine transformation Active shape model Computer science Topology (electrical circuits) Active contour model Transformation (genetics) Aerial image Artificial intelligence Computer vision Deformation (meteorology) Shape analysis (program analysis) Road map Network topology Image (mathematics) Algorithm Image segmentation Geometry Mathematics Geography Segmentation Cartography

Metrics

7
Cited By
0.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.06
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Automated Road and Building Extraction
Physical Sciences →  Engineering →  Ocean Engineering
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering

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