An approach to form recognition based on non-linear projections, search and optimization
With the help of the family of non-linear projections and fitness functions introduced here, and using a standard evolutionary programming procedure, a broad class of parametric geometric primitives may be discovered in an image. The generalization of the notion of Mahalanobis distance proposed here permits this approach to be extended to non-parametric primitives. The suggested approach is highly robust.
non-linear projections fitness function evolutionary programming generalized mahalanobis distance