Mapping Areas using Computer Vision Algorithms and Drones
| Autor: | Alhafni, Bashar, Guedes, Saulo Fernando, Ribeiro, Lays Cavalcante, Park, Juhyun, Lee, Jeongkyu |
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| Rok vydání: | 2019 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | The goal of this paper is to implement a system, titled as Drone Map Creator (DMC) using Computer Vision techniques. DMC can process visual information from an HD camera in a drone and automatically create a map by stitching together visual information captured by a drone. The proposed approach employs the Speeded up robust features (SURF) method to detect the key points for each image frame; then the corresponding points between the frames are identified by maximizing the determinant of a Hessian matrix. Finally, two images are stitched together by using the identified points. Our results show that despite some limitations from the external environment, we could have successfully stitched images together along video sequences. Comment: 7 pages, 12 figures. This work was presented at the American Society for Engineering Education (ASEE) Northeast Conference in 2016 |
| Databáze: | arXiv |
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