|Description (include details on usage, files and paper references)||The York Urban Line Segment Database is a compilation of 102 images (45 indoor, 57 outdoor) of urban environments consisting mostly of scenes from the campus of York University and downtown Toronto, Canada. The images are 640 x 480 in size and have been taken with a calibrated Panasonic Lumix DMC-LC80 digital camera.
Each image in the database has been hand-labelled to identify the set of line segments satisfying the "Manhattan assumption" (Coughlan & Yuille 2003), i.e., the set of line segments that conform to the 3D orthogonal frame of the urban environment.
These hand-labelled data have been used to identify the three Manhattan vanishing points in each image and from these to identify the Euler angles relating the camera frame to the Manhattan frame of the scene.
The database provides the original images, camera calibration parameters, ground truth line segments, and estimated Manhattan frame relative to the camera for each image.
Further details can be found in the readme file, in the ECCV conference paper (Denis, Elder & Estrada 2008), and in Patricks MSc thesis . If you use this database, please cite the ECCV conference paper.
This database can be used to train and evaluate methods for automatically computing the Manhattan frame, as in Denis, Elder & Estrada (2008), and for many other purposes.
|Tags (single words, spaced)||vanishing, point, pose, urban, reconstruction, outdoor, geometry, manhattan