Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Mesh reduction with error control
Proceedings of the 7th conference on Visualization '96
View-dependent simplification of arbitrary polygonal environments
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Simplifying polygonal models using successive mappings
VIS '97 Proceedings of the 8th conference on Visualization '97
Geometric compression through topological surgery
ACM Transactions on Graphics (TOG)
Control of polygonal mesh resolution for 3-D computer vision
Graphical Models and Image Processing
Locally Toleranced Surface Simplification
IEEE Transactions on Visualization and Computer Graphics
Compact encoding of 3-D voxel surfaces based on pattern code representation
IEEE Transactions on Image Processing
Automatic 3-D model synthesis from measured range data
IEEE Transactions on Circuits and Systems for Video Technology
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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Estimation of the shape dissimilarity between 3D models is a very important problem in both computer vision and graphics for 3D surface reconstruction, modeling, matching, and compression. In this paper, we propose a novel method called surface roving technique to estimate the shape dissimilarity between 3D models. Unlike conventional methods, our surface roving approach exploits a virtual camera and Z-buffer, which is commonly used in 3D graphics. The corresponding points on different 3D models can be easily identified, and also the distance between them is determined efficiently, regardless of the representation types of the 3D models. Moreover, by employing the viewpoint sampling technique, the overall computation can be greatly reduced so that the dissimilarity is obtained rapidly without loss of accuracy. Experimental results show that the proposed algorithm achieves fast and accurate measurement of shape dissimilarity for different types of 3D object models.