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2020 | OriginalPaper | Chapter

A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications

Authors : Ciprian Orhei, Silviu Vert, Radu Vasiu

Published in: Information and Software Technologies

Publisher: Springer International Publishing

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Abstract

Augmented Reality is an environment-enhancing technology, widely applied in many domains, such as tourism and culture. One of the major challenges in this field is precise detection and extraction of building information through Computer Vision techniques. Edge detection is one of the building blocks operations for many feature extraction solutions in Computer Vision. AR systems use edge detection for building extraction or for extraction of facade details from buildings. In this paper, we propose a novel filter operator for edge detection that aims to extract building contours or facade features better. The proposed filter gives more weight for finding vertical and horizontal edges that is an important feature for our aim.

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Appendix
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Metadata
Title
A Novel Edge Detection Operator for Identifying Buildings in Augmented Reality Applications
Authors
Ciprian Orhei
Silviu Vert
Radu Vasiu
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-59506-7_18

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