|Title:||A definition for orientation for multiple component shapes||Journal:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||Volume:||4673 LNCS||First page:||677||Last page:||685||Conference:||12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007; Vienna; Austria; 27 August 2007 through 29 August 2007||Issue Date:||1-Dec-2007||Rank:||M23||ISBN:||978-3-540-74271-5||ISSN:||0302-9743||DOI:||10.1007/978-3-540-74272-2_84||Abstract:||
In this paper we introduce a new method for computing the orientation for compound shapes. If the method is applied to single component shapes the computed orientation is consistent with the shape orientation defined by the axis of the least second moment of inertia. If the new method is applied to compound shapes this is not the case, and consequently the presented method is both new and different.
|Keywords:||Early vision | Image normalization | Orientation | Shape||Publisher:||Springer Link|
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