Critical steps in camera pose estimation: an evaluation using LTI-LIB2 library
Αποθηκεύτηκε σε:
| Συγγραφείς: | , , |
|---|---|
| Μορφή: | artículo original |
| Κατάσταση: | Versión publicada |
| Ημερομηνία έκδοσης: | 2014 |
| Περιγραφή: | 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®. |
| Χώρα: | Portal de Revistas TEC |
| Ίδρυμα: | Instituto Tecnológico de Costa Rica |
| Repositorio: | Portal de Revistas TEC |
| Γλώσσα: | Español |
| OAI Identifier: | oai:ojs.pkp.sfu.ca:article/1656 |
| Διαθέσιμο Online: | https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/1656 |
| Λέξη-Κλειδί : | ASM camera calibration chessboard corners pose estimation LTI-LIB2 |