Critical steps in camera pose estimation: an evaluation using LTI-LIB2 library
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| Авторы: | , , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2014 |
| Описание: | 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®. |
| Страна: | Portal de Revistas TEC |
| Институт: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Язык: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/1656 |
| Online-ссылка: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/1656 |
| Ключевое слово: | ASM camera calibration chessboard corners pose estimation LTI-LIB2 |