Log-polar image sampling

Resamples an image from a conventional grid to a log-polar grid, and back.

Images sampled on a log-polar grid have interesting and useful properties. Rotation and scaling are trivial operations, and this can lead to efficient algorithms for straight line detection and optic flow estimation. Such sampling schemes also provide a rough model of biological foveal vision, of interest in the development of active computer vision systems.

The functions in this file carry out resampling from a conventional image to a log-polar image, and back. There is usually considerable information loss in each direction, but resampling to log-polar can still be useful for computational experiments.

The toolbox function imtransform does the main work; these functions are a front end to it.