Portal de Periódicos da CAPES

GeoPose3K: Mountain landscape dataset for camera pose estimation in outdoor environments

2017; Elsevier BV; Volume: 66; Linguagem: Inglês

10.1016/j.imavis.2017.05.009

1872-8138

Jan Brejcha, Martin Čadík,

Robotics and Sensor-Based Localization

We introduce a new dataset called GeoPose3K1 which contains over three thousand precise camera poses of mountain landscape images. In addition to camera location and orientation, we provide data for the training and evaluation of computer vision methods and applications in the context of outdoor scenes; synthetic depth maps, normal maps, illumination simulation and semantic labels. In order to illustrate properties of the dataset, we compare results achieved by state-of-the-art visual geo-localization method on GeoPose3K with results achieved on an existing dataset for visual geo-localization. So as to foster research of computer vision algorithms for outdoor environments, several novel future use-cases of our new GeoPose3K dataset are proposed.