Abstract
Oriented Chamfer Matching is much more tolerable to detect object in images with clustered background. However, it is till more reliable on object template. Focused on this problem, this paper proposed a method flexibly creating deformable templates. The multiple deformable templates were created through simulating the 3D perspective projection of 2D template. The method called Procrustes Alignment was utilized to combine all the deformable templates into a unified one. The proposed method was tested on ETHZ shape class dataset and better detection results were acquired.
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Dong, J., Sun, C., Yang, W. (2013). An Improved Method for Oriented Chamfer Matching. In: Sun, C., Fang, F., Zhou, ZH., Yang, W., Liu, ZY. (eds) Intelligence Science and Big Data Engineering. IScIDE 2013. Lecture Notes in Computer Science, vol 8261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-42057-3_110
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DOI: https://doi.org/10.1007/978-3-642-42057-3_110
Publisher Name: Springer, Berlin, Heidelberg
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