期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2012
卷号：XXXIX-B3
页码：81-86
DOI：10.5194/isprsarchives-XXXIX-B3-81-2012
出版社：Copernicus Publications
摘要：we present an accurate and efficient solution for pose estimation from line features. By introducing coplanarity errors, we formulate the objective functions in terms of distances in the 3D scene space, and use different optimization strategies to find the best rotation and translation. Experiments show that the algorithm has strong robustness to noise and outliers, and that it can attain very accurate results efficiently
关键词：pose estimation; line feature; orthogonal iteration
