A new mesh visual quality metric using saliency weighting-based pooling strategy

作者：Feng, Xiang^*; Wan, Wanggen; Da Xu, Richard Yi; Perry, Stuart; Zhu, Song; Liu, Zexin

来源：Graphical Models, 2018, 99: 1-12.

DOI：10.1016/j.gmod.2018.07.001

• Mesh visual quality assessment
• Mesh saliency
• Tensor-based Perceptual Distance Measure
• Saliency weighting-based pooling
• Synthetic saliency map

Several metrics have been proposed to assess the visual quality of 3D triangular meshes during the last decade. In this paper, we propose a mesh visual quality metric by integrating mesh saliency into mesh visual quality assessment. We use the Tensor-based Perceptual Distance Measure metric to estimate the local distortions for the mesh, and pool local distortions into a quality score using a saliency weighting-based pooling strategy. Three well-known mesh saliency detection methods are used to demonstrate the superiority and effectiveness of our metric. Experimental results show that our metric with any of three saliency maps performs better than state-of-the-art metrics on the LIRIS/EPFL general-purpose database. We generate a synthetic saliency map by assembling salient regions from individual saliency maps. Experimental results reveal that the synthetic saliency map achieves better performance than individual saliency maps, and the performance gain is closely correlated with the similarity between the individual saliency maps.

• 出版日期2018-9
• 单位上海大学