Camera Calibration for Coastal Monitoring Using Available Snapshot Images
| Autor: | Jorge Guillén, Paola Souto, Gonzalo Simarro, Daniel Calvete |
|---|---|
| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Agencia Estatal de Investigación (España), Universitat Politècnica de Catalunya. Departament de Física, Universitat Politècnica de Catalunya. DF - Dinàmica de Fluids: formació d'estructures i aplicacions geofísiques |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science Science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION coastal video monitoring camera calibration sensitivity analysis 010502 geochemistry & geophysics 01 natural sciences Camera calibration Computer vision Overall performance Calibratge 0105 earth and related environmental sciences Mathematical model Física [Àrees temàtiques de la UPC] business.industry Grid Extrinsic calibration Calibration General Earth and Planetary Sciences Snapshot (computer storage) Coastal video monitoring Artificial intelligence business Sensitivity analysis Camera resectioning |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Digital.CSIC. Repositorio Institucional del CSIC instname Remote Sensing, Vol 12, Iss 1840, p 1840 (2020) Remote Sensing; Volume 12; Issue 11; Pages: 1840 |
| Popis: | 14 pages, 13 figures, supplementary material https://doi.org/10.3390/rs12111840 Joint intrinsic and extrinsic calibration from a single snapshot is a common requirement in coastal monitoring practice. This work analyzes the influence of different aspects, such as the distribution of Ground Control Points (GCPs) or the image obliquity, on the quality of the calibration for two different mathematical models (one being a simplification of the other). The performance of the two models is assessed using extensive laboratory data (i.e., snapshots of a grid). While both models are able to properly adjust the GCPs, the simpler model gives a better overall performance when the GCPs are not well distributed over the image. Furthermore, the simpler model allows for better recovery of the camera position and orientation This research was funded by the Spanish Government (MINECO/MICINN/FEDER) grant numbers RTI2018-093941-B-C32, and RTI2018-093941-B-C33 With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI) |
| Databáze: | OpenAIRE |
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