Dataset Open Access
Gasparini, Simone; Castan, Fabien
This dataset collects 197 images taken in courtyard of Capdigital building (https://goo.gl/maps/1fAw1KqTp9u) in Paris (FRA) and 2 video sequences taken with a camera rig composed of 1 main camera and 2 witness cameras on the side looking outwards. The aim of the dataset is to test and evaluate the camera tracking algorithms developed for the POPART(http://www.popartproject.eu/) project, and help the reproducibility of the experiments. The camera tracking algorithms developed for the POPART project are based on model tracking of an existing 3D reconstruction of the scene. First a collection of still images are taken and a SfM pipeline is used to perform the 3D reconstruction of the scene. As result of this first step, a 3D point cloud is generated.
The camera tracking algorithms are then based on camera localization techniques: each frame is individually localized w.r.t. the 3D point cloud using the photometric information (SIFT features) associated to each point. This allows to align the point cloud to the current frame and thus compute the camera pose.
The dataset is maintained at https://gitlab.com/simogasp/trackingDataset_CapdigitalOutdoor