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2014 | OriginalPaper | Chapter

Automatic Peak Recognition for Mountain Images

Authors : Wei-Han Liu, Chih-Wen Su

Published in: Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Publisher: Springer Netherlands

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Abstract

In this paper, we propose a novel method for automatically recognize the peaks of mountains based on the shape of skyline. Since the appearances of a mountain are variable due to the changes of weather, season or region, the skyline of mountains is extracted for the matching of different mountain images. We use support vector machine (SVM) to predict the possible skyline segments and the linking of incomplete fragments of skyline is formulated as a shortest path problem and solved by dynamic programming strategy. In order to resist the geometric distortion caused by view change, we perform 2D curve matching on the extracted skylines for the peak recognition task. Our experimental results demonstrate that the proposed method is our method is effective for the mountain recognition under complicated and variable circumstances.

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Metadata
Title
Automatic Peak Recognition for Mountain Images
Authors
Wei-Han Liu
Chih-Wen Su
Copyright Year
2014
Publisher
Springer Netherlands
Book
Advanced Technologies, Embedded and Multimedia for Human-centric Computing

Print ISBN: 978-94-007-7261-8

Electronic ISBN: 978-94-007-7262-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-94-007-7262-5_127