Modeling of Food Shapes via Functional Expansions for Generating Variation

Abstract

This paper describes a method of modeling two-dimensional shapes of foods. Each food has its own approximated shape with variation. These variations make food handling more difficult. To make gripper for handling foods, analyzing food shapes are necessary. We apply an ellipse to represent the approximated shapes of frozen flies and Fourier series to formulate their shape variation. Binary photo of the flies made easy to extract only the shape from background of the photo. Using the approximated ellipse and Fourier series, we generate novel shapes of the frozen fries. Several generation trials are demonstrated to evaluate the generated shapes.