Perceptual quality assessment of 3D dynamic meshes: Subjective and objective studies

Torkhani, Fakhri; Wang, Kai; Chassery, Jean‐Marc

doi:10.1016/j.image.2014.12.008

Cited by 21 publications

(21 citation statements)

References 41 publications

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“…In about the last decade, however, new approaches were proposed that provide results of better visual appeal [SCOT03, VP04], yet worse quality in terms of the traditional error metrics. This discrepancy has motivated several user studies focused on mesh distortion perception [Lav09, TWC15], which in turn lead to proposal of multiple error metrics [Lav11, TWC14] that provide vastly improved correlation with the user study results.…”

Section: Related Workmentioning

confidence: 99%

Error propagation control in Laplacian mesh compression

Váša

Dvorak

2018

Computer Graphics Forum

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Laplacian mesh compression, also known as high‐pass mesh coding, is a popular technique for efficiently storing both static and dynamic triangle meshes that gained further recognition with the advent of perceptual mesh distortion evaluation metrics. Currently, the usual rule of thumb that drives the decision for a mesh compression algorithm is whether or not accuracy in absolute scale is required: Laplacian mesh encoding is chosen when perceptual quality is the main objective, while other techniques provide better results in terms of mechanistic error measures such as mean squared error. In this work, we present a modification of the Laplacian mesh encoding algorithm that preserves its benefits while it substantially reduces the resulting absolute error. Our approach is based on analyzing the reconstruction stage and modifying the quantization of differential coordinates, so that the decoded result stays close to the input even in areas that are distant from anchor points. In our approach, we avoid solving an overdetermined system of linear equations and thus reduce data redundancy, improve conditioning and achieve faster processing. Our approach can be directly applied to both static and dynamic mesh compression and we provide quantitative results comparing our approach with the state of the art methods.

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Section: Related Workmentioning

confidence: 99%

Error propagation control in Laplacian mesh compression

Váša

Dvorak

2018

Computer Graphics Forum

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“…Traditionally, security in computer science is based on objective indicators that supply a level of security. Subjective measures are used in fields of computer visualizations (Torkhani et al 2015). They make sense when data is difficult to obtain; when the associated concepts are difficult to measure, e.g.…”

Section: Measuring Security In Cloud Storagementioning

confidence: 99%

Using Goal-Question-Metric (GQM) Approach to Assess Security in Cloud Storage

Yahya

Walters

Wills

2017

Enterprise Security

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Abstract. Assessing the security of data stored in cloud storage can be carried out by developing goal-based measurement items. The measurement items can be utilized to construct a security assessment model based on practical needs. The measurement items can assist in acquiring support decision making on the implementation of a security frameworks. This paper discusses the GoalQuestion-Metrics (GQM) approach and its application towards constructing measurement items for a security metric. It also attempts to provide practical guidance and example of measurements using GQM. An application of the GQM paradigm towards the development of a security metric is presented. The metrics obtained will assist organizations to meet their requirements for a cloud storage security framework.

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“…The hypotenuse of the spatial and temporal components then gives the STED error. Another attempt for perceptual quality evaluation of dynamic meshes is by Torkhani et al [45]. Their metric is a weighted mean square combination of three distances: speed-weighted spatial distortion measure, vertex speed-related contrast, and vertex moving direction related contrast.…”

Section: Model-based Perceptual Metricsmentioning

confidence: 99%

“…Perceptual error metrics designed for dynamic meshes to date that we are aware of are [46] and [45]. However, dynamic mesh datasets of [46] and [45] provide only one frame per animation and this is not sufficient for our metric to be applied on these datasets.…”

Section: Comparison To Star Techniquesmentioning

confidence: 99%

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A perceptual quality metric for dynamic triangle meshes

Yıldız

Çapın

2017

J Image Video Proc.

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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.

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Perceptual quality assessment of 3D dynamic meshes: Subjective and objective studies

Cited by 21 publications

References 41 publications

Error propagation control in Laplacian mesh compression

Error propagation control in Laplacian mesh compression

Using Goal-Question-Metric (GQM) Approach to Assess Security in Cloud Storage

A perceptual quality metric for dynamic triangle meshes

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