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

arXiv: https://arxiv.org/abs/2106.01055 · HTML: https://mlsanity.com/paper/2106.01055/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 22 references that are in the map.
- First posted on arXiv 2 Jun 2021.

## Built on by (most cited first, 3 of 3)

- [Dilated filters for edge detection algorithms](https://mlsanity.com/paper/2106.07395/) (2021)
- [An automated threshold Edge Drawing algorithm](https://mlsanity.com/paper/2110.05119/) (2021)
- [TMBuD: A dataset for urban scene building detection](https://mlsanity.com/paper/2110.14590/) (2021)

## Abstract (arXiv)

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.