Abstract
In a binocular stereovision context, we focus on matching techniques based on seed propagation. Our work is about the seed selection step. Among all the different solutions, some are based on feature points. The goal of this work is to propose a study on ten feature point detectors in order to find out which ones are the most suitable to select the initial seed set for the propagation. In order to do so, we adapt the auto-correlation measure proposed by Moravec by using a different correlation measure over squared windows and by looking over a bigger neighbourhood. Several rankings are established measuring repeatability and spatial distribution computed from a set of reference stereo image pairs. This work gives indications about the most adequate strategy to select reliable and well distributed seeds. Then, we take a look at the complementarity of the most efficient detectors according to our criteria. Then, we take a look at the influence of the most complementary detectors in the stereo matching context.
