Critical steps in camera pose estimation: an evaluation using LTI-LIB2 library

 

Đã lưu trong:
Chi tiết về thư mục
Nhiều tác giả: Cabrera-Quirós, Laura, Campos-Gómez, Rafael, Castro-Godínez, Jorge
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2014
Miêu tả: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®.
Quốc gia:Portal de Revistas TEC
Tổ chức giáo dục:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Ngôn ngữ:Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/1656
Truy cập trực tuyến:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/1656
Từ khóa:ASM
camera calibration
chessboard corners
pose estimation
LTI-LIB2