Title
A new error metric for geometric shape distortion using depth values from orthographic projections
Abstract
Euclidean-based distance metrics are commonly used for measuring geometric shape distortions of 3D models, but have several drawbacks. They have strict requirements regarding model representation and usually necessitate expensive surface sampling or point correspondence matching. Furthermore, many distortion metrics have been designed to capture relatively minor shape changes, rather than large-scale (global) shape distortions which can occur during compression and image-based reconstruction. This paper presents a new geometric distortion metric for offline quality assessment of 3D models. The new metric is largely independent of object representation and does not require any expensive surface sampling or point matching operations. It can capture well both minor and severe shape distortions, on a large and small scale. In the context of measuring the rate-distortion performance of a lossy mesh compression algorithm, the new metric provides a more reliable measure of overall shape distortion than the commonly used Hausdorff distance and a more relevant measure of surface error than the RMSE. Visual distortion maps for the new metric are also created, which indicate that the metric additionally captures well the perceived shape error between two objects.
Year
DOI
Venue
2012
10.1145/2425836.2425911
IVCNZ
Keywords
Field
DocType
shape distortion,depth value,expensive surface sampling,overall shape distortion,orthographic projection,severe shape distortion,new metric,geometric shape distortion,new error,minor shape change,visual distortion map,distortion metrics,shape error,depth buffer,z buffer
Computer vision,Point set registration,Lossy compression,Orthographic projection,Pattern recognition,Computer science,Mean squared error,Geometric shape,Hausdorff distance,Artificial intelligence,Data compression,Distortion
Conference
Citations 
PageRank 
References 
1
0.37
8
Authors
3
Name
Order
Citations
PageRank
Maja Krivokuca1494.66
Burkhard C. Wünsche210522.75
Waleed Abdulla3194.74