Objective visual quality assessment for 3D meshes

Dong, Lü; Fang, Yuming; Wang, Lin; Seah, Hock Soon

doi:10.1109/qomex.2014.6982277

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…For more details on TPDM, readers can refer to [10], [17]. Another curvature based perceptual quality metric is proposed in [25]. It computes mean curvature and this computation results are adjusted further with a visual masking and saturation components.…”

Section: B Curvature-basedmentioning

confidence: 99%

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

Muzahid

Wan

Feng

2018

2018 International Conference on Audio, Language and Image Processing (ICALIP)

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During mesh processing operations (e.g. simplifications, compression, and watermarking), a 3D triangle mesh is subject to various visible distortions on mesh surface which result in a need to estimate visual quality. The necessity of perceptual quality evaluation is already established, as in most cases, human beings are the end users of 3D meshes. To measure such kinds of distortions, the metrics that consider geometric measures integrating human visual system (HVS) is called perceptual quality metrics. In this paper, we direct an expansive study on 3D mesh quality evaluation mostly focusing on recently proposed perceptual based metrics. We limit our study on greyscale static mesh evaluation and attempt to figure out the most workable method for real-time evaluation by making a quantitative comparison. This paper also discusses in detail how to evaluate objective metric's performance with existing subjective databases. In this work, we likewise research the utilization of the psychometric function to expel non-linearity between subjective and objective values. Finally, we draw a comparison among some selected quality metrics and it shows that curvature tensor based quality metrics predicts consistent result in terms of correlation.

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Section: B Curvature-basedmentioning

confidence: 99%

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

Muzahid

Wan

Feng

2018

2018 International Conference on Audio, Language and Image Processing (ICALIP)

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“…Such techniques rather propose hypotheses, which are usually difficult to prove, about the overall behavior of the visual system in order to estimate how a specific visual artifact is perceived. Based on the observation that visual artifacts are less visible on rough regions than on smooth ones of a 3D mesh [19], several perceptual metrics have for instance been proposed [20], [21], [22]. Other features used by such top-down metrics include surface curvature [23], [24] and dihedral angle [25].…”

Section: Perceptually Driven Graphicsmentioning

confidence: 99%

Just Noticeable Distortion Profile for Flat-Shaded 3D Mesh Surfaces

Nader

Wang

Hétroy-Wheeler

et al. 2016

IEEE Trans. Visual. Comput. Graphics

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It is common that a 3D mesh undergoes some lossy operations (e.g., compression, watermarking and transmission through noisy channels), which can introduce geometric distortions as a change in vertex position. In most cases the end users of 3D meshes are human beings; therefore, it is important to evaluate the visibility of introduced vertex displacement. In this paper we present a model for computing a Just Noticeable Distortion (JND) profile for flat-shaded 3D meshes. The proposed model is based on an experimental study of the properties of the human visual system while observing a flat-shaded 3D mesh surface, in particular the contrast sensitivity function and contrast masking. We first define appropriate local perceptual properties on 3D meshes. We then detail the results of a series of psychophysical experiments where we have measured the threshold needed for a human observer to detect the change in vertex position. These results allow us to compute the JND profile for flat-shaded 3D meshes. The proposed JND model has been evaluated via a subjective experiment, and applied to guide 3D mesh simplification as well as to determine the optimal vertex coordinates quantization level for a 3D model.

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“…Wang et al [32] proposed a fast mesh perceptual distance (FMPD) metric which considers the visual masking effect and psychometric saturation effect of the HVS. More recently, TPDM [33], DAME [34], [35] were proposed which also serve as reliable quality indicators for mesh models.…”

Section: Introductionmentioning

confidence: 99%

Perceptual Quality and Visual Experience Analysis for Polygon Mesh on Different Display Devices

Yang

Liu

et al. 2018

IEEE Access

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Polygon mesh models have been widely used in various areas due to its high degree of verisimilitude and interactivity. Since the mesh models usually undergo various phases of signal processing for the purpose of storage, simplification, transmission, and deformation, the perceptual quality as well as the visual experience of mesh models are often subject to distortions at every stage. Therefore, investigating the perceptual quality and the visual experience of mesh models have become one of the major tasks for both the academia and industry. In this paper, we have designed two subjective experiments to investigate the perceptual quality and the visual experience in both the virtual reality environment and the traditional 2-D environment. Experimental results showed that there is no statistically significant difference in the quality perception between the two viewing conditions, independent of the model content, the distortion type, and the distortion level. On the contrary, there exists significant difference in the visual experience between the two viewing conditions under various factors. This paper helps researchers to better understand the quality perception behavior and the visual experience toward polygon mesh models.INDEX TERMS Polygon mesh, virtual reality, perceptual quality, visual experience.

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Objective visual quality assessment for 3D meshes

Cited by 3 publications

References 12 publications

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

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

Just Noticeable Distortion Profile for Flat-Shaded 3D Mesh Surfaces

Perceptual Quality and Visual Experience Analysis for Polygon Mesh on Different Display Devices

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