Computer Science and Engineering, Department of

 

Document Type

Article

Date of this Version

2012

Citation

Anatomy Research International Volume 2012, Article ID 604543, 9 pages

Comments

Copyright © 2012 Kendra K. Schmid et al.

Open access

doi:10.1155/2012/604543

Abstract

Shape analysis is useful for a wide variety of disciplines and has many applications. There are many approaches to shape analysis, one of which focuses on the analysis of shapes that are represented by the coordinates of predefined landmarks on the object. This paper discusses Tridimensional Regression, a technique that can be used for mapping images and shapes that are represented by sets of three-dimensional landmark coordinates, for comparing and mapping 3D anatomical structures. The degree of similarity between shapes can be quantified using the tridimensional coefficient of determination (R2). An experiment was conducted to evaluate the effectiveness of this technique to correctly match the image of a face with another image of the same face. These results were compared to the R2 values obtained when only two dimensions are used and show that using three dimensions increases the ability to correctly match and discriminate between faces.

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