A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum

Computer Science – Computer Vision and Pattern Recognition

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

The claim that the invariants uniquely determine the original image had to be dropped

Scientific paper

We propose a new set of rotationally and translationally invariant features for image or pattern recognition and classification. The new features are cubic polynomials in the pixel intensities and provide a richer representation of the original image than most existing systems of invariants. Our construction is based on the generalization of the concept of bispectrum to the three-dimensional rotation group SO(3), and a projection of the image onto the sphere.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A novel set of rotationally and translationally invariant features for images based on the non-commutative bispectrum will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-651642

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.