Viewpoint Scoring Approach and Its Application to Locating Canonical Viewpoint for 3D Visualization

被引:1
作者
Che, Li [1 ,2 ]
Kang, Fengju [1 ,2 ]
机构
[1] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Peoples R China
[2] Natl Key Lab Underwater Informat Proc & Control, Xian, Peoples R China
来源
THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT II | 2016年 / 644卷
关键词
3D visualization; Canonical viewpoint; Viewpoint attribute; Visual perception; Particle swarm optimization;
D O I
10.1007/978-981-10-2666-9_63
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
In this paper, a novel viewpoint scoring method based on multi-attribute fusion is proposed. The perceptual model of viewpoint preference is explored from geometry and visual perception aspects. Modified mesh saliency entropy is presented as the crucial intrinsic geometric attribute. Several digital image factors which have influence on human visual perception form the viewpoint perception attributes. Evolution algorithm is utilized to select the canonical viewpoint automatically and intelligently. Experimental results demonstrate that the canonical viewpoint obtained by the proposed method contains more visible salient features and better conforms to human visual perception characteristic. Moreover, the method has high efficiency and requires no user interaction.
引用
收藏
页码:625 / 633
页数:9
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