Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/SNPD.2010.25 | SNPD |
Keywords | Field | DocType |
histogram modeling,spatial relations,basic task,fuzzy set theory,visual area,human cognitive logic,reference frame,spatial relation representation modeling,unified spatial relations representation,different reference frame,deictic reference frame,computer graphics,histogram,fuzzy sets,previous modeling,spatial relations representation modeling,spatial relations representation,visual area histogram modelling,visual area histogram,cognition,logic,topology,artificial intelligence,software engineering,computer graphic,visualization,histograms,spatial relation,computational modeling,fuzzy set,shape,distributed computing | Spatial relation,Reference frame,Histogram,Visualization,Computer science,Correctness,Theoretical computer science,Fuzzy set,Artificial intelligence,Computer graphics,Function representation,Machine learning | Conference |
ISBN | Citations | PageRank |
978-1-4244-7421-9 | 2 | 0.45 |
References | Authors | |
16 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ke Zhang | 1 | 2 | 0.79 |
| Keping Wang | 2 | 8 | 4.42 |
| Xiaojie Wang | 3 | 395 | 66.31 |
| Yixin Zhong | 4 | 29 | 9.17 |