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Surface smoothing, decimation, and their effects on 3D biological specimens.
Alessio Veneziano1,2, Federica Landi2, Antonio Profico3
1School of Natural Sciences and Psychology, Faculty of Science, John Moores University, Liverpool, L3 3AF, United Kingdom.
American Journal of Physical Anthropology
|February 16, 2018
Summary
Smoothing and decimation filters can alter 3D mesh topology and measurements. This study provides guidelines to minimize information loss when using these filters on virtual biological specimens.
Area of Science:
- Digital morphology
- Computational anatomy
- 3D mesh processing
Background:
- Smoothing and decimation filters are vital for virtual biological specimens.
- These filters can inadvertently remove crucial topological information.
- Understanding filter effects is essential for accurate digital reconstructions.
Purpose of the Study:
- To analyze the impact of smoothing and decimation on 3D mesh topology.
- To quantify information loss in virtual biological specimens.
- To provide guidelines for appropriate filter application.
Main Methods:
- Simulated topological noise on an orangutan cranium 3D mesh.
- Applied sequential levels of smoothing and decimation filters.
- Analyzed effects on mesh topology, linear, and volumetric measurements.
Main Results:
- Smoothing algorithms had varied effects on topology and measurements, with generally low impact on measurements.
- Decimation consistently degraded both topology and measurements.
- Combined smoothing and decimation showed potential for recovering topological information.
Conclusions:
- Filter selection critically impacts 3D mesh integrity.
- Decimation poses significant risks to topological and measurement accuracy.
- Objective guidelines are proposed to mitigate information loss during 3D mesh filtering.
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