Abstract
Object recognition is a very large problem that can be derived in different forms. In the domain of graphic recognition, many strategies are proposed, but many of them depend on the context in which they are applied [LVSM01]. This aspect implies the necessity to find a model for this context, and to use it for the implementation of dynamic and adaptative systems. In this paper, we focus on the object recognition problem where a knowledge base defined by a finite set of representative prototypes or class objects is given.
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Bertet, K., Ogier, JM. (2004). Graphic Recognition: The Concept Lattice Approach. In: Lladós, J., Kwon, YB. (eds) Graphics Recognition. Recent Advances and Perspectives. GREC 2003. Lecture Notes in Computer Science, vol 3088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25977-0_25
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DOI: https://doi.org/10.1007/978-3-540-25977-0_25
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