Critical steps in camera pose estimation: an evaluation using LTI-LIB2 library
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| Autores: | , , |
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| Formato: | artículo original |
| Estado: | Versión publicada |
| Data de Publicación: | 2014 |
| Descripción: | An evaluation of camera pose estimation methods using a chessboard pattern is presented. Steps evaluated in the estimation process are landmark point detection and camera parameter estimation, due to their critical role in the entire process. The ChESS method and a custom heuristic method are compared for chessboard pattern detection. Both methods are objectively contrasted using True Positive and False Negative criteria. Meanwhile, Zhang’s method for pose estimation based on planar surface point distribution is used as a first approach, and then refined with a nonlinear regression through the Levenberg-Marquardt algorithm. This pose estimation algorithm is evaluated through a comparison with a stable tool, such as the Camera Calibration Toolbox for Matlab®. |
| País: | Portal de Revistas TEC |
| Institución: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Idioma: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/1656 |
| Acceso en liña: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/1656 |
| Palabra crave: | ASM camera calibration chessboard corners pose estimation LTI-LIB2 |