Viewpoint Invariant Texture Matching and Wide Baseline Stereo
Frederik Schaffalitzky and Andrew Zisserman
Oxford University, UK
We describe and demonstrate a texture region descriptor which is invariant to
affine geometric and photometric transformations, and insensitive to
the shape of the texture region. It is applicable to texture patches which are
locally planar and have stationary statistics. The novelty of the
descriptor is that it is based on statistics aggregated over the
region, resulting in richer and more stable descriptors than those
computed at a point.
Two texture matching applications of this descriptor are demonstrated:
(1) it is used to automatically identify regions of the same
type of texture, but with varying surface pose, within a single image;
(2) it is used to support wide baseline stereo,
i.e. to enable the automatic computation of the epipolar geometry
between two images acquired from quite separated viewpoints.
Results are presented on several sets of real images.