Dynamic colored meshes (DCM) are widely used in various applications; however, these meshes may undergo different processes, such as compression or transmission, which can distort them and degrade their quality. To facilitate the development of objective metrics for DCMs and study the influence of typical distortions on their perception, we create the Tencent - dynamic colored mesh database (TDMD) containing eight reference DCM objects with six typical distortions. Using processed video sequences (PVS) derived from the DCM, we have conducted a large-scale subjective experiment that resulted in 303 distorted DCM samples with mean opinion scores, making the TDMD the largest available DCM database to our knowledge. This database enabled us to study the impact of different types of distortion on human perception and offer recommendations for DCM compression and related tasks. Additionally, we have evaluated three types of state-of-the-art objective metrics on the TDMD, including image-based, point-based, and video-based metrics, on the TDMD. Our experimental results highlight the strengths and weaknesses of each metric, and we provide suggestions about the selection of metrics in practical DCM applications. The TDMD will be made publicly available at the following location: https://multimedia.tencent.com/resources/tdmd.

翻译：动态彩色网格（DCM）广泛应用于各类应用场景中；然而，这些网格可能经历压缩或传输等不同处理过程，从而产生失真并降低其质量。为促进DCM客观质量指标的发展并研究典型失真对其感知的影响，我们构建了Tencent动态彩色网格数据库（TDMD），其中包含八个参考DCM对象和六种典型失真类型。利用从DCM导出的处理视频序列（PVS），我们开展了一项大规模主观实验，最终获得303个带有平均主观意见分数的失真DCM样本，据我们所知，这使得TDMD成为现有最大的DCM数据库。该数据库使我们能够研究不同类型失真对人类感知的影响，并为DCM压缩及相关任务提供建议。此外，我们还在TDMD上评估了三种类型的先进客观质量指标，包括基于图像、基于点云和基于视频的指标。实验结果突显了各指标的优缺点，并针对实际DCM应用中指标的选择提出了建议。TDMD将公开发布于以下网址：https://multimedia.tencent.com/resources/tdmd。