Title :
Spatial styles capturing using genetic algorithms in sketch understanding
Author :
Zhang, Li-Sha ; SUN, ZHENG-XING ; Lee, Man-Wu ; Jiang, Wei
Author_Institution :
State Key Lab for Novel Software Technol., Nanjing Univ., China
Abstract :
Many sketches convey information through the relationships between graphics, rather than the internal structure of the graphics themselves, and the spatial context of a sketch should help people to understand freehand sketches. We exploit a method of the spatial styles capturing based on genetic algorithms (GA) for sketch-based software conceptual modeling. Firstly, a structure of object relation graphs (ORG) is constructed based on the definition of the spatial styles in UML. Secondly, a computational model is employed to describe the interrelation of sketchy UML objects and capture frequently occurred spatial styles possibly with fixed semantics through genetic algorithms. Experiments have proved the proposed method both effective and efficient.
Keywords :
Unified Modeling Language; genetic algorithms; psychology; visual databases; UML; genetic algorithms; object relation graphs; sketch-based software conceptual modeling; spatial styles capturing; Computational modeling; Context modeling; Genetic algorithms; Graphics; Humans; Layout; Object recognition; Sun; Unified modeling language; Writing;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380431