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Rotation Invariant Indexing of Shapes and Line Drawings Michail Vlachos
 

Summary: Rotation Invariant Indexing of Shapes and Line Drawings
Michail Vlachos
IBM Watson Research Center
Zografoula Vagena
UC Riverside
Philip S. Yu
IBM Watson Research Center
Vassilis Athitsos
Boston University
Abstract
We present data representations, distance measures and or-
ganizational structures for fast and efficient retrieval of sim-
ilar shapes in image databases. Using the Hough Transform
we extract shape signatures that correspond to important
features of an image. The new shape descriptor is robust
against line discontinuities and takes into consideration not
only the shape boundaries, but also the content inside the ob-
ject perimeter. The object signatures are eventually projected
into a space the renders them invariant to translation, scal-
ing and rotation. In order to provide support for real-time

  

Source: Athitsos, Vassilis - Department of Computer Science and Engineering, University of Texas at Arlington

 

Collections: Computer Technologies and Information Sciences