Matching using real images

In this experiment we perform the matching between two omnidirectional images acquired with an hypercatadioptric system. We compute the scale space using our approach, then this scale-space is passed to Vedaldi's software to compute the extrema points and the descriptors.

Extrema points features detected with LB



Normal SIFT points



Matching of LB features



Matching of SIFT features

The difference is explained since the scale-spaces used by the two approaches are different. The LB approach has smoothed images in the first two octaves but less smoothed in the las two. The opposite happens with Vedaldi's application, the first two octaves are less smtoothed and the last two are more smoothed than the LB ones.

Scale Space computed with LB

Normal SIFT Scale Space