A New Set of Normalized Geometric Moments Based on Schlick's Approximation (2007)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Computer Science and Software Engineering.
AuthorsMukundan, R.show all
Schlick’s approximation of the term x p is used primarily to reduce the complexity of specular lighting calculations in graphics applications. Since moment functions have a kernel defined using a monomial x p y p , the same approximation could be effectively used in the computation of normalized geometric moments and invariants. This paper outlines a framework for computing moments of various orders of an image using a simplified kernel, and shows the advantages provided by the approximating function through a series of experimental results.
CitationMukundan, R. (2007) A New Set of Normalized Geometric Moments Based on Schlick's Approximation. Lake Tahoe, NV, USA: International Symposium on Visual Computing (ISVC07), 26-28 Nov 2007. Lecture Notes in Computer Science (LNCS), 4842, Advances in Visual Computing, 205-213.
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