Objective evaluation of the perceptual quality of 3D watermarking

Gelasca, E.D.; Ebrahimi, Touradj; Corsini, Massimiliano; Barni, Mauro

doi:10.1109/icip.2005.1529732

Cited by 41 publications

(39 citation statements)

References 10 publications

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“…The objects were displayed during about 3 minutes and user interaction was allowed (rotation, scaling, translation). Following the considerations of [18] the interaction should improve the reliability of the subjective experiment in this context (this approach has just been used with positive results in [35], [26] and successive studies). It is important to note that since the observer can see all the 6 degraded versions on the same screen, there was no need to establish a referential range, since he naturally puts a 0 for the object he finds the most degraded and 4 to the best one.…”

Section: Subjective Evaluation Protocolmentioning

confidence: 99%

“…The second method by Drelie Gelasca et al [26] (3DW P M 2 ) is based on the consideration that artifacts are better perceived on smooth surfaces. Following this statement, this approach applies a smoothing algorithm and then measures the roughness of the surface as the variance of the differences between the smoothed version of the model and its original version.…”

Section: Roughness-based Measures (3dwmentioning

confidence: 99%

“…Their work underlines that the perceptual contribution of image texture is, in general, more important than the model's geometry. Drelie Gelasca et al [26] and Corsini et al [27] propose a perceptual metric based on global roughness variation, to measure the quality of a watermarked mesh. They gave two definitions of roughness, the variance of the difference between a 3D model and its smoothed version, and the variance of the dihedral angles between adjacent faces evaluated in a multi-resolution fashion.…”

Section: Model-based Perceptual Metricsmentioning

confidence: 99%

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A Comparison of Perceptually-Based Metrics for Objective Evaluation of Geometry Processing

Lavoué

Corsini

2010

IEEE Trans. Multimedia

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Abstract-Recent advances in 3D graphics technologies have led to an increasing use of processing techniques on 3D meshes, such as filtering, compression, watermarking, simplification, deformation and so forth. Since these processes may modify the visual appearance of the 3D objects, several metrics have been introduced to properly drive or evaluate them, from classic geometric ones such as Hausdorff distance, to more complex perceptually-based measures. This paper presents a survey on existing perceptuallybased metrics for visual impairment of 3D objects and provides an extensive comparison between them. In particular, different scenarios which correspond to different perceptual and cognitive mechanisms are analyzed. The objective is twofold: (1) catching the behavior of existing measures to help Perception researchers for designing new 3D metrics and (2) providing a comparison between them to inform and help Computer Graphics researchers for choosing the most accurate tool for the design and the evaluation of their mesh processing algorithms.

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Section: Subjective Evaluation Protocolmentioning

confidence: 99%

Section: Roughness-based Measures (3dwmentioning

confidence: 99%

Section: Model-based Perceptual Metricsmentioning

confidence: 99%

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A Comparison of Perceptually-Based Metrics for Objective Evaluation of Geometry Processing

Lavoué

Corsini

2010

IEEE Trans. Multimedia

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“…Roughness of a 3D mesh has also been used to measure quality of watermarked meshes [19], [11]. In [11], two objective metrics (3DWPM1 and 3DWPM2) derived from two definitions of surface roughness are proposed as the change in roughness between the reference and test meshes.…”

Section: Model-based Perceptual Metricsmentioning

confidence: 99%

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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“…The second method [25] is based on the consideration that artifacts are better perceived on smooth surfaces. This was confirmed by interviews with subjects.…”

Section: B Smoothing-based Roughness Estimationmentioning

confidence: 99%

Watermarked 3-D Mesh Quality Assessment

Corsini

Gelasca

Ebrahimi

et al. 2007

IEEE Trans. Multimedia

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134

152

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Abstract-This paper addresses the problem of assessing distortions produced by watermarking 3D meshes. In particular, a new methodology for subjective evaluation of the quality of 3D objects is proposed and implemented. Two objective metrics derived from measures of surface roughness are then proposed and their efficiency to predict perceptual impact of 3D watermarking are assessed and compared with the state of the art. Results obtained show good correlations between the proposed objective metrics and subjective assessments by human observers.

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Objective evaluation of the perceptual quality of 3D watermarking

Cited by 41 publications

References 10 publications

A Comparison of Perceptually-Based Metrics for Objective Evaluation of Geometry Processing

A Comparison of Perceptually-Based Metrics for Objective Evaluation of Geometry Processing

A perceptual quality metric for dynamic triangle meshes

Watermarked 3-D Mesh Quality Assessment

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