Subjective and Objective Visual Quality Assessment of Textured 3D Meshes

Abstract

Objective visual quality assessment of 3D models is a fundamental issue in computer graphics. Quality assessment metrics may allow a wide range of processes to be guided and evaluated, such as level of detail creation, compression, filtering, and so on. Most computer graphics assets are composed of geometric surfaces on which several texture images can be mapped to make the rendering more realistic. While some quality assessment metrics exist for geometric surfaces, almost no research has been conducted on the evaluation of texture-mapped 3D models. In this context, we present a new subjective study to evaluate the perceptual quality of textured meshes, based on a paired comparison protocol. We introduce both texture and geometry distortions on a set of 5 reference models to produce a database of 136 distorted models, evaluated using two rendering protocols. Based on analysis of the results, we propose two new metrics for visual quality assessment of textured mesh, as optimized linear combinations of accurate geometry and texture quality measurements. These proposed perceptual metrics outperform their counterparts in terms of correlation with human opinion. The database, along with the associated subjective scores, will be made publicly available online.

Subjective quality assessment of textured human full-body 3D-reconstructions

“…In the same work, Guo et al propose two full-reference metrics for textured mesh visual quality prediction. While still relevant, the work of [13] has a different scope than the current paper. The present work computes a model that relates the 3D reconstructed mesh production parameters to subjective visual quality.…”

“…Each presentation option has its own benefits and shortcomings [7], [13] with no method dominating the others in all relevant aspects. We chose to adopt static pre-rendered views for simplicity, fairness for comparison between different subjects (as they all see the same view) and minimization of the survey's duration while maximizing variation in human performance types.…”

“…Finally, the most recent work we know in this area is the one presented in [13] which apart from [6] is the only work considering joint distortions in both geometry and texture. In that work the formulated considered dataset includes five types of distortions: geometry quantization (often found in compression algorithms), geometry simplification, geometry smoothing, texture compression and texture downscaling.…”

“…Thus, the input to our proposed model are geometry and texture resolution. On the other hand, the model of [13] requires a reference and impaired mesh to judge about the subjective quality. Subjective visual quality evaluation of 2D images.…”

Fidelity Perception of 3D Models on the Web

“…The subjective perceptual quality of textured 3D Mapped models was evaluated by Guo et al [9] using a paired comparison protocol (2 stimuli -side by side) on videos of 136 texture-and geometry-distorted models of 5 reference models on a total of 101 subjects. Participants were asked to choose the model decimation that is similar to the reference model.…”