This chapter offers an overview of computational research in motivic pattern extraction. The central questions underlying the topic, concerning the formalization of the motivic structures, the matching strategies and the filtering of the results, have been addressed in various ways. A detailed analysis of these problems leads to the proposal of a new methodology, which will be developed throughout the study. One main conclusion of this review is that the problems cannot be tackled using purely mathematic or geometric heuristics or classical engineering tools, but require also a detailed understanding of the multiple constraints derived by the underlying cognitive context.
Complete Chapter List
Richard L. Kline
María Ángeles Fernández de Sevilla, Luis M. Laita, Eugenio Roanes-Lozano
Eddie Al-Shakarchi, Ian Taylor
Sébastien Macé, Eric Anquetil, Bruno Bossis
David A. Shamma, John Woodruff, Bryan Pardo
Adriano Baratè, Goffredo Haus, Luca A. Ludovico