A Perceptual Structural Degradation Metric for 3D Mesh Processing

被引：0

作者：

Shi, Zhenfeng ^{[1
]}

Zhang, Chiping ^{[2
]}

Niu, Xiamu ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin 150080, Peoples R China

[2] Harbin Inst Technol, Dept Math, Harbin 150080, Peoples R China

来源：

PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011), VOL 2: INFORMATION SYSTEMS AND COMPUTER ENGINEERING | 2011年 / 111卷

关键词：

HVS; Visual perception; Structural degradation; Mesh saliency; Entropy; VISUAL-ATTENTION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

3D mesh simplification and other processing usually introduce some visual perceptual degradations and distortions. Evaluating them is a critical issue. Some geometric metrics without the consideration of human visual perception and perceptual metrics based on subjective test have been proposed. It is urgent to develop an objective evaluation metric with the consideration of human visual perception. We use the mean perceptual structural degradation (MPSD) metric based on mesh saliency and information theory to evaluate the visual degradation. Experimental results show that the MPSD can evaluate the visual perceptual structural degradation effectively and provide the functionality of multi-scale evaluation for visual perceptual degradation.

引用

页码：609 / +

页数：2

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