Distributed image-based 3-D localization of camera sensor networks
CDC(2009)
摘要
Abstract—We consider the problem,of distributed estimation of the,poses,of N cameras,in a camera,sensor,network using,image,measurements,only. The relative rotation,and translation (up to a scale factor) between,pairs of neighboring cameras,can,be estimated,using,standard,computer,vision techniques. However, due to noise in the image measurements, these estimates,may,not,be globally consistent. We,address this problem,by,minimizing,a cost function,on SE(3), in a distributed,fashion,using a generalization,of the classical consensus,algorithm,for averaging,Euclidean data. We,also derive a condition for convergence, which relates the step-size of the consensus,algorithm,and,the degree,of the camera,network graph. While our methods,are designed,with the camera,sensor network application in mind, our results are applicable to other localization problems,in a more,general setting. We also provide synthetic simulations,to test the validity of our approach.
更多查看译文
关键词
cameras,computer vision,graph theory,wireless sensor networks,Euclidean data,camera network graph,camera sensor networks,computer vision,distributed estimation,distributed image-based 3D localization,image measurements
AI 理解论文
溯源树
样例

生成溯源树,研究论文发展脉络
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn