Fuzzy Cognitive Maps Applied to Computer Vision Tasks
作者： Gonzalo Pajares , María Guijarro , P Javier Herrera , José J Ruz , Jesús M de la Cruz
DOI: 10.1007/978-3-642-03220-2_11
关键词: Object (computer science) 、 Change detection 、 Structure (mathematical logic) 、 Fuzzy cognitive map 、 Exploit 、 Computer vision 、 Pattern recognition (psychology) 、 Computer science 、 Stereopsis 、 Context (language use) 、 Artificial intelligence
摘要: Computer vision is an emerging area which demanding solutions for solving different problems. The data to be processed are bi-dimensional (2D) images captured from the tri-dimensional (3D) scene. objects in 3D generally composed of related parts that joined form whole object. Fortunately, relations preserved 2D. Hence, we can exploit this fact by considering specific and basic elements other 2D images. with allow establishing a link among them. have necessary ingredients build structure under Fuzzy Cognitive Maps (FCMs) paradigm. FCMs been satisfactorily used several areas computer including: pattern recognition, image change detection or stereo matching. In chapter establish general framework fuzzy cognitive maps context describe three applications mentioned vision. We also give some details about performance paradigm these applications.
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