3D Object Localization Using 2D Estimates for Computer Vision Applications

Autor:	Siddique, Taha Hasan Masood, Usman, Muhammad
Rok vydání:	2020
Předmět:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Robotics
Druh dokumentu:	Working Paper
Popis:	A technique for object localization based on pose estimation and camera calibration is presented. The 3-dimensional (3D) coordinates are estimated by collecting multiple 2-dimensional (2D) images of the object and are utilized for the calibration of the camera. The calibration steps involving a number of parameter calculation including intrinsic and extrinsic parameters for the removal of lens distortion, computation of object's size and camera's position calculation are discussed. A transformation strategy to estimate the 3D pose using the 2D images is presented. The proposed method is implemented on MATLAB and validation experiments are carried out for both pose estimation and camera calibration. Comment: Accepted for publication in MAJICC'21: Mohammad Ali Jinnah University Conference on Informatics and Computing 2021
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2009.11446 Zobrazit plný text záznamu View this record from Arxiv