Exploring the efficiency of image metric for assessing the visual quality of 3D mesh model

作     者：Li Che Fengju Kang 

作者机构：College of Marine Engineering Northwestern Polytechnical University Xi’an 710072P.R.China National Key Laboratory of Underwater Information Process and Control Xi’an 710072P.R.China 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2018年第9卷第6期

页      面：147-170页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Image metric 3D model visual quality assessment mesh distortion correlation analysis,performance analysis. 

摘      要：Recent developments in 3D graphics technology have led to extensive processes on 3D meshes(e.g.,compression,simplification,transmission and watermarking),these processes unavoidably cause the visual perceptual degradation of the 3D *** existing mesh visual quality evaluation metrics either require topology constrain or fail to reflect the perceived visual ***,for the 3D objects that are observed on 2D screens by the users,it is reasonable to apply image metric to assess the distortion caused by mesh *** attempt to explore the efficiency of image metric for assessing the visual fidelity of the simplified 3D model in this *** this purpose,several latest and most effective image metrics,2D snapshots,number and pooling algorithms are involved in our study,and finally tested on the IEETA simplification *** statistical data allow the researcher to select the optimal parameter for this image-based mesh visual quality assessment and provide a new perspective for the design and performance assessment of mesh simplification algorithms.