DocumentCode
3713750
Title
Image-based localization using image database and local 3D maps
Author
Hyungjin Kim;Kwangyik Jung;Taekjun Oh;Hyun Myung
Author_Institution
Urban Robotics Lab. (URL), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro (373-1 Guseong-dong), Yuseong-gu, Daejeon 34141, Korea
fYear
2015
Firstpage
32
Lastpage
33
Abstract
Image-based localization is one of the most important techniques for autonomous navigation. This paper proposes a 6-DoF localization method based on image database and local 3D maps. To perform localization, the image database and local 3D map of each image are collected in advance. By applying a fast place recognition algorithm such as FAB-MAP, an initial position is assumed to be available at a past position of a matched image from the database. Then, a 6-DoF camera pose is estimated using PnP algorithm by 2D-to-3D matching correspondences in a query image and a local 3D map. The proposed algorithm is demonstrated in real environment.
Keywords
"Three-dimensional displays","Image databases","Cameras","Robots","Stereo vision","Feature extraction"
Publisher
ieee
Conference_Titel
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
Type
conf
DOI
10.1109/URAI.2015.7358922
Filename
7358922
Link To Document