Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A perceptually based adaptive sampling algorithm
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
Measuring and predicting visual fidelity
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Perceptually Optimized 3D Graphics
IEEE Computer Graphics and Applications
Perceptually-Driven Simplification for Interactive Rendering
Proceedings of the 12th Eurographics Workshop on Rendering Techniques
Level of Detail for 3D Graphics
Level of Detail for 3D Graphics
Model simplification using image and geometry-based metrics
Model simplification using image and geometry-based metrics
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Visual equivalence: towards a new standard for image fidelity
ACM SIGGRAPH 2007 papers
Frame sequential interpolation for discrete level-of-detail rendering
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
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Measures of dissimilarity of 3D models are necessary in a wide range of applications such as geometry compression, simplification, and 3D model retrieval. In many cases a metric that models perceptual dissimilarity is desirable. Recently, metrics for 3D models have been evaluated in that respect using concepts such as just noticeable differences, rankings, and others. We propose a simple experimental setup for evaluating supra-threshold perception of 3D models in which users select models at equal perceptual distance to given pairs of models. We discuss the advantages of our approach and report the results of a field study comparing six objective distance measures applied to palettes of simplified reference models. We found that the objective measures are biased, and generally image-based metrics perform better than metrics based on the original 3D geometry.