Physical Sciences and Mathematics Commons^™

Tridimensional Regression, Kendra Schmid, David Marx, Ashok Samal

Conference on Applied Statistics in Agriculture

Shape analysis is useful for a wide variety of disciplines and has many applications. There are many different 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 introduces Tridimensional Regression, a technique that can be used for mapping images and shapes that are represented by sets of three-dimensional landmark coordinates. 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 …