Title :
Spatial Relations Modeling Based on Visual Area Histogram
Author :
Zhang, Ke ; Wang, Ke-ping ; Wang, Xiao-jie ; Zhong, Yi-xin
Abstract :
The spatial relations representation modeling is a basic task of computer graphics comprehension, however, previous modeling is usually aimed at a certain kind of relations such as direction, topology and distance. The models are relatively independent and inconsistent with human´s cognitive logic, thus building a unified spatial relations representation modeling based on different reference frames is required. In this paper we first discuss the importance of a reference frame for building a spatial relations representation modeling, then introduce the feasibility of histogram modeling for building a unified spatial relations representation modeling, and then describe the construction of spatial relations representation modeling based on visual area histogram under the deictic reference frame, in order to testify the correctness of the modeling, two typical examples are given, finally point out the advantages of this modeling, as well as the future work.
Keywords :
computer graphics; fuzzy set theory; computer graphics; deictic reference frame; fuzzy set theory; human cognitive logic; spatial relation representation modeling; visual area histogram modelling; Artificial intelligence; Buildings; Cognition; Computer graphics; Distributed computing; Histograms; Humans; Logic; Software engineering; Topology; fuzzy sets; histogram; reference frame; spatial relations; visual area;
Conference_Titel :
Software Engineering Artificial Intelligence Networking and Parallel/Distributed Computing (SNPD), 2010 11th ACIS International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-7422-6
Electronic_ISBN :
978-1-4244-7421-9
DOI :
10.1109/SNPD.2010.25