DocumentCode :
577629
Title :
Algorithm research for gene-sequence-based 3D model reconfiguration
Author :
Shurong Ning ; Shengyun Yuan ; Rui Lin ; Yuan Zhu
Author_Institution :
Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
788
Lastpage :
792
Abstract :
How to improve the efficiency of animation production and reduce the difficulties of animation development have become core issues in research on animation technology. By the analysis of existing animation design technology, three main processes of animation design have been improved: model design, preservation and rendering. Instead of individual modeling, the reconfigurable model design algorithm has been used. In order to preserve efficiently, the common characteristic of a class of things have been picked up to model in class level, then the model should be divided into several modules. Abstraction on the basis of gene sequences makes new model can be generated by dynamic adjustment. Reconfigurable model design algorithm based on gene sequence can improve the efficiency of model design, simplify the variable quantity of data information, and reduce the space consumption of storage.
Keywords :
biology computing; computer animation; genetics; rendering (computer graphics); sequences; solid modelling; abstraction; algorithm research; animation design technology; animation development; animation production; data information; dynamic adjustment; gene-sequence-based 3D model reconfiguration; model preservation; reconfigurable model design algorithm; rendering; Algorithm design and analysis; Animation; Computational modeling; Indexes; Object oriented modeling; Solid modeling; 3D computer animation; gene-sequence-based; reconfigurable animation; reconfigurable model design algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6357985
Filename :
6357985
Link To Document :
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