Rotation and scale invariant shape representation and recognition using Matching Pursuit

Using a low-level representation of images, like matching pursuit, we introduce a new way of describing objects through a general description using a translation, rotation, and isotropic scale invariant dictionary of basis functions. We then use this description as a predefined dictionary of the object to conduct a shape recognition task. We show some promising results for the detection with simple shapes.


Published in:
Proceedings of 16th International Conference on Pattern Recognition 2002 , ICPR'02, Quebec City, Canada, 4, 326-329
Year:
2002
Publisher:
IEEE
Keywords:
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 Record created 2006-06-14, last modified 2018-12-03

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