Exploring the Influence of View and Camera Path Selection for Dynamic Mesh Quality Assessment
Kaifa Yang, Qi Yang, Joël Jung, Yiling Xu, Xiaozhong Xu, Shan Ting Liu · 2023
With the development of 3D mesh processing and applications, the quality assessment of dynamic mesh sequences attracts more and more attention. One prevalent strategy for performing the subjective experiment and designing objective quality metrics is to convert the 3D dynamic mesh into 2D images or videos via projection and to collect subjective scores or calculate objective indexes based on these images or videos. In this paper, we study the influence of the view, or camera path selection for the projection, for both subjective and objective dynamic mesh quality assessment, and compare the performance of image-based metrics and point-based metrics corresponding to the collected subjective scores. First, we use the dynamic mesh sequences proposed by MPEG as anchors and generate videos corresponding to different coding configurations and different camera paths. Then, we conduct subjective experiments to collect the ground truth of mean opinion scores. Besides, we calculate the state-of-the-art objective metric scores for each sequence. We analyze the differences between subjective scores with respect to different camera paths and the correlation between subjective scores and objective metrics. The results show that different camera paths tend to generate close subjective perceptions and that the selection of views can influence some objective metrics.