Phos is a color image database of 15 scenes captured under different illumination conditions. Every scene of the database contains 15 different images: 9 images captured under various strengths of uniform illumination (including ground truth), and 6 images under different degrees of non-uniform illumination. The images contain objects of different shape, color and texture and can be used for illumination invariant feature detection and selection.
The DTU Robot dataset consists of color images of 60 scenes acquired in a controlled setup from 119 different positions and under different lighting. Fo...
illumination, feature matching, sfm, reconstruction, feature detection, feature descriptionThe Graffiti dataset by Krystian Mikolajczyk and Cordelia Schmid contains 48 images split into 8 sequences with 6 images each showing different structur...
benchmark, image rectification, feature detection, feature description