Matching using real images and the polar descriptor

The first experiment consist of matching two omnidirectional images where one of them is obtained from the rotation of the first one around the z-axis by Pi/2.

Matching using Polar Descriptor

Matching using SIFT

The second experiment shows the matching between two different omnidirectional images, considering rotation and translation. A single octave is considered.

Matching using Polar Descriptor

Matching using SIFT

In the next experiment we use the four octaves.

Matching using Polar Descriptor

Matching using SIFT

We observe that the matching using LB through the scales cause the mismatching of the features, while that using the SIFT descriptor the matching is performed correctly. This indicates that the LB approach has problems with the matching throught the scales. More experiments have to be performed to identify the source of this behavior.

The next experiment matches the SIFT descriptors (128 vectors) using the QC criteria.

Matching SIFT using QC