A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Geometric compression through topological surgery
ACM Transactions on Graphics (TOG)
ACM Transactions on Graphics (TOG)
Visibility-guided simplification
Proceedings of the conference on Visualization '02
Edgebreaker: Connectivity Compression for Triangle Meshes
IEEE Transactions on Visualization and Computer Graphics
Higher Order Prediction for Geometry Compression
SMI '03 Proceedings of the Shape Modeling International 2003
ACM SIGGRAPH 2003 Papers
High-pass quantization for mesh encoding
Proceedings of the 2003 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Octree-based Animated Geometry Compression
DCC '04 Proceedings of the Conference on Data Compression
Constraint-based fairing of surface meshes
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Discrete quadratic curvature energies
Computer Aided Geometric Design
A local roughness measure for 3D meshes and its application to visual masking
ACM Transactions on Applied Perception (TAP)
Interactive Hausdorff distance computation for general polygonal models
ACM SIGGRAPH 2009 papers
Comparing small visual differences between conforming meshes
GMP'08 Proceedings of the 5th international conference on Advances in geometric modeling and processing
Feature-preserving mesh denoising via attenuated bilateral normal filtering and quadrics
Proceedings of the 26th Spring Conference on Computer Graphics
Perceptual models of viewpoint preference
ACM Transactions on Graphics (TOG)
Watermarked 3-D Mesh Quality Assessment
IEEE Transactions on Multimedia
A Comparison of Perceptually-Based Metrics for Objective Evaluation of Geometry Processing
IEEE Transactions on Multimedia
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Hi-index | 0.00 |
In computer graphics, triangle meshes are ubiquitous as a representation of surface models. Processing of this kind of data, such as compression or watermarking, often involves an unwanted distortion of the surface geometry. Advanced processing algorithms are continuously being proposed, aiming at improving performance (compression ratio, watermark robustness and capacity), while minimizing the introduced distortion. In most cases, the final resulting mesh is intended to be viewed by a human observer, and it is therefore necessary to minimise the amount of distortion perceived by the human visual system. However, only recently there have been studies published on subjective experiments in this field, showing that previously used objective error measures exhibit rather poor correlation with the results of subjective experiments. In this paper, we present results of our own large subjective testing aimed at human perception of triangle mesh distortion. We provide an independent confirmation of the previous result by Lavoué et al. that most current metrics perform poorly, with the exception of the MSDM/MSDM2 metrics. We propose a novel metric based on measuring the distortion of dihedral angles, which provides even higher correlation with the results of our experiments and experiments performed by other researchers. Our metric is about two orders of magnitude faster than MSDM/MSDM2, which makes it much more suitable for usage in iterative optimisation algorithms. © 2012 Wiley Periodicals, Inc.