Abstract
The last chapter summarizes the methods presented in this book by comparing their strengths as well as limitations. A brief rating with respect to several criteria, such as algorithm runtime, object complexity, or invariance with respect to intra-class object variation, viewpoint change, occlusion, is also given. Please note that such a rating can only be done at coarse level as algorithm performance depends heavily on the application context. Nevertheless the comparison should help the reader to asses which kind of algorithm might be suitable for a specific application.
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© 2010 Springer-Verlag London Limited
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Treiber, M. (2010). Summary. In: An Introduction to Object Recognition. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84996-235-3_8
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DOI: https://doi.org/10.1007/978-1-84996-235-3_8
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