This research website is aimed at providing a benchmark for the scientific community working on automatic detection of repeatable and distinctive keypoints in 3D data. 3D keypoint detection is currently a key stage for several 3D computer vision applications such as surface registration/alignment, SLAM and 3D camera pose estimation, 3D object recognition, surface matching.
This website includes a public dataset repository for testing 3D keypoint detectors, as well as experimental results concerning the evaluation proposed in [1,2]. Moreover, it provides a tool to compare newly developed algorithms with the state of the art.
 S. Salti, F. Tombari, L. Di Stefano, “A Performance Evaluation of 3D Keypoint Detectors”, 3D Imaging, Modeling, Processing, Visualization and Transmission Conference (3DIMPVT), 2011
 F. Tombari, S. Salti, L. Di Stefano, “Performance Evaluation of 3D Keypoint Detectors”, International Journal of Computer Vision (IJCV), DOI: 10.1007/s11263-012-0545-4, to appear