Assessment of interest points detection algorithms in OTB

The task of finding correspondences between images or objects in images is usually needed in remote sensing applications such as object recognition and image registration. To do this, interest — or salient — points can be used. These points are characteristic locations in images to which a descriptor can be associated to describe local features. The descriptors must be pertinent, robust to geometric and radiometric distortions. The ORFEO Toolbox includes innovative interest points detectors, Harris, SIFT [1] (Scale Invariant Feature Transformation) and the recently added SURF [2] (Speed Up Robust Features). The ORFEO Toolbox (OTB) provides a complete and efficient environment for developing elaborated applications thanks to the pipeline mechanism which ties successive processing steps and is able to deal with different image types. In this paper, we asses the interest point detectors available in OTB.