TMBuD: A dataset for urban scene building detection

Computer Vision (CV) aims to create computational models that can mimic the human visual system. From an engineering point of view, CV aims to build autonomous systems which could perform some of the tasks that the human visual system is able to accomplish [1]. Urban scenarios reconstruction and understanding of it is an area of research with several applications nowadays: entertainment industry, computer gaming, movie making, digital mapping for mobile devices, digital mapping for car navigation, urban planning, driving. Understanding urban scenarios has become much more important with the evolution of Augmented Reality (AR). AR is successfully exploited in many domains nowadays, one of them being culture and tourism, an area in which the authors of this paper carried multiple research projects [2], [3], [4].