@inproceedings{258578124ebd43a5aed90e5978ddb274,
title = "Camera Calibration of the Stereo-Vision System with Large Field of View Based on Parallel Particle Swarm Optimization",
abstract = "Binocular vision calibration with Large Field of View (LFV) is a multi-parameter nonlinear complex problem. This paper utilizes particle swarm (PSO) algorithm to the multi-parameters optimization of binocular vision calibration. Considering radial distortion and tangential distortion of the camera model, this paper extends the standard particle Swarm Optimization (PSO) and proposes Parallel PSO Algorithms,this method improves the ability of searching the global optimal solution and the searching speed. Taking into account camera radial and tangential distortion, we achieve the global optimum of interior and exterior camera's parameters with this method in a large field of binocular vision system calibration. Experiments show that this method is simple, high precision, good stability. The interior and exterior camera's parameters are searched the global optimum solution, the result of the experiment indicated, the method is simple with high accuracy and good stability.",
keywords = "Calibration of stereo-vision System, Large field of view, Parallel Particle Swarm Optimization",
author = "Guangming Zhang and Yuming Chen and Yuhao Yuan",
year = "2012",
doi = "10.1007/978-3-642-35286-7_49",
language = "英语",
isbn = "9783642352850",
series = "Communications in Computer and Information Science",
pages = "389--395",
editor = "{ Lei}, Jingsheng and RynsonW.H. Lau and Jingxin Zhang",
booktitle = "Multimedia and Signal Processing",
note = "2012 International Conference on Multimedia and Signal Processing, CMSP 2012 ; Conference date: 07-12-2012 Through 09-12-2012",
}