A Suggestion of Image’s Position Analysis System Using Beacon Positioning
Autor: | Seo Kyung Jung, Sung Geun Yoo, Sangil Park |
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Rok vydání: | 2019 |
Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Field of view Object (computer science) Image (mathematics) Azimuth Image stitching Feature (computer vision) Position (vector) Position analysis Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
Zdroj: | Advances in Computer Science and Ubiquitous Computing ISBN: 9789811393402 |
DOI: | 10.1007/978-981-13-9341-9_56 |
Popis: | When a 360° image is produced from images taken by a plurality of general cameras, an image stitching technique for finding the same area between a plurality of images and correcting the geometry is required. The image stitching technique compares the similarities of feature points extracted from several images, and connects the images together to form a large image. In this paper, assuming a theater with a beacon attached, the position of the photographer is roughly grasped through the beacon, and the position of the photographer captured by the user through the application, the azimuth angle of the image and the field of view (FOV). We propose a method of filtering images with stitching object images. |
Databáze: | OpenAIRE |
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