Towards perceptual quality evaluation of dynamic meshes
Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
The hitchhiker's guide to the galaxy of mathematical tools for shape analysis
ACM SIGGRAPH 2012 Courses
A new error metric for geometric shape distortion using depth values from orthographic projections
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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Recent advances in 3-D graphics technologies have led to an increasing use of processing techniques on 3-D meshes, such as filtering, compression, watermarking, simplification, deformation, and so forth. Since these processes may modify the visual appearance of the 3-D 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 perceptually-based metrics for visual impairment of 3-D 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 3-D 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.