A perceptual quality metric for dynamic triangle meshes

Abstract

A measure for assessing the quality of a 3D mesh is necessary in order to determine whether an operation on the mesh, such as watermarking or compression, affects the perceived quality. The studies on this field are limited when compared to the studies for 2D. In this work, we aim a full-reference perceptual quality metric for animated meshes to predict the visibility of local distortions on the mesh surface. The proposed visual quality metric is independent of connectivity and material attributes. Thus, it is not associated to a specific application and can be used for evaluating the effect of an arbitrary mesh processing method. We use a bottom-up approach incorporating both the spatial and temporal sensitivity of the human visual system. In this approach, the mesh sequences go through a pipeline which models the contrast sensitivity and channel decomposition mechanisms of the HVS. As the output of the method, a 3D probability map representing the visibility of distortions is generated. We have validated our method by a formal user experiment and obtained a promising correlation between the user responses and the proposed metric. Finally, we provide a dataset consisting of subjective user evaluation of the quality of public animation datasets.

Surface Reconstruction Assessment in Photogrammetric Applications

“…Roughness infers the geometric non-smoothness [ 63 ] of a surface and can be computed as either a local or a global property: while local roughness may provide the high frequency behavior of the mesh vertices in a local region, global roughness is an indication of the average low frequency surface characteristic [ 64 ]. Curvature is also adopted as a measure to indicate structure and noise, well correlating with visual experience [ 65 ]. Databases comprising reference and distorted meshes are publicly available for assessing MVQ degradation introduced by geometrical processing [ 66 ] (subjective quality assessment of 3D models).…”

Subjective and objective quality assessment for volumetric video

“…Torkhani et al [43] devised a quality metric for dynamic meshes, which is a combination of spatial and temporal features. In more recent work, Yildiz et al [114] developed a bottom-up approach incorporating both the spatial and temporal sensitivity of the HVS to predict the visibility of local distortions on the mesh surface.…”

Perceptual Quality Evaluation of 3D Triangle Mesh: A Technical Review

“…These types of artifacts are already proved and experimented by several researchers which are already discussed in the previous section. In [40], a marking tool and marking system of subjective responses on distorted areas are described clearly, shown in Fig. 3.…”

“…a) Evaluation Screen b) Top-left: reference mesh, top-right: modified mesh, bottom-left: mean subjective response, bottom-right: estimated visual response. From[40]…”