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This paper proposes the use of high-dimensional, point-based shape models for the study of phenotype, which offer some important advantages over traditional morphometrics, including a more detailed representation of shape and a more systematic approach to shape statistics. Our approach allows for the analysis of shape at both global and local scales and can(More)
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