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Visualizing shape transformation between chimpanzee and human braincases


Specht, Matthias; Lebrun, Renaud; Zollikofer, Christoph P E (2007). Visualizing shape transformation between chimpanzee and human braincases. Visual Computer, 23(9-11):743-751.

Abstract

The quantitative comparison of the form of the braincase is a central issue in paleoanthropology (i.e., the study of human evolution based on fossil evidence). The major difficulty is that there are only few locations defining biological correspondence between individual braincases. In this paper, we use mesh parameterization techniques to tackle this problem. We propose a method to conformally parameterize the genus-0 surface of the braincase on the sphere and to calibrate the parameterization to match biological constraints. The resulting consistent parameterization gives detailed information about shape differences between the braincase of human and chimp. This opens up new perspectives for the quantitative comparison of "featureless” biological structures

Abstract

The quantitative comparison of the form of the braincase is a central issue in paleoanthropology (i.e., the study of human evolution based on fossil evidence). The major difficulty is that there are only few locations defining biological correspondence between individual braincases. In this paper, we use mesh parameterization techniques to tackle this problem. We propose a method to conformally parameterize the genus-0 surface of the braincase on the sphere and to calibrate the parameterization to match biological constraints. The resulting consistent parameterization gives detailed information about shape differences between the braincase of human and chimp. This opens up new perspectives for the quantitative comparison of "featureless” biological structures

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:National licences > 142-005
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Software
Physical Sciences > Computer Vision and Pattern Recognition
Physical Sciences > Computer Graphics and Computer-Aided Design
Language:English
Date:7 August 2007
Deposited On:21 Dec 2018 17:28
Last Modified:15 Apr 2021 14:54
Publisher:Springer
ISSN:0178-2789
OA Status:Green
Publisher DOI:https://doi.org/10.1007/s00371-007-0156-1

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