Abstract
Avaliação de Diferentes Métodos para Calibração de Câmera Não-Métrica
Highlights
The process of generating tri-dimensional (3D) information from a sequence of bi-dimensional (2D) images has made Photogrammetry very popular mainly due to the use of Unmanned Aerial Vehicles (UAV)
The aim of this paper is to evaluate the Interior Orientation Parameters (IOP) impact on 3D extraction, based on two different camera calibration: using a chessboard and using a calibration field with Ground Control Points (GCP)
This paper has reviewed two different methods for digital camera calibration
Summary
The process of generating tri-dimensional (3D) information from a sequence of bi-dimensional (2D) images has made Photogrammetry very popular mainly due to the use of Unmanned Aerial Vehicles (UAV). It is possible to generate precise and reliable information from data acquired with low-cost digital sensors carried by UAV and processed with photogrammetric software (Neitzel & Klonowski, 2012). The application that uses a DTM requires a large set of precise and reliable information. The process of generating photogrammetric products using non-metric cameras can reproduce the systematic errors caused by the lens distortion, if the calibration is not considered. The difference in cost between a metric camera and a non-metric camera can express the geometric stability of the digital sensor. Metric cameras are expensive if compared to a non-metric, and in order to extract information derived from a low-cost camera it is necessary to calibrate the sensor
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