Mukundan, R.2009-03-042009-03-042007Mukundan, 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, 205-213.978-3-540-76855-5http://hdl.handle.net/10092/2162Schlick’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.enConference Contributions - PublishedFields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280101 Information systems organisationFields of Research::280000 Information, Computing and Communication Sciences::280300 Computer Software::280302 Software engineeringhttps://doi.org/10.1007/978-3-540-76856-2_20