A New Set of Normalized Geometric Moments Based on Schlick's Approximation

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dc.contributor.authorMukundan, R.
dc.date.accessioned2009-03-04T19:26:23Z
dc.date.available2009-03-04T19:26:23Z
dc.date.issued2007en
dc.description.abstractSchlick’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.en
dc.identifier.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.en
dc.identifier.doihttps://doi.org/10.1007/978-3-540-76856-2_20
dc.identifier.isbn978-3-540-76855-5
dc.identifier.urihttp://hdl.handle.net/10092/2162
dc.language.isoen
dc.publisherUniversity of Canterbury. Computer Science and Software Engineering.en
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280100 Information Systems::280101 Information systems organisationen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280300 Computer Software::280302 Software engineeringen
dc.titleA New Set of Normalized Geometric Moments Based on Schlick's Approximationen
dc.typeConference Contributions - Published
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