The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 2A1-N06
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Modeling of Food Shapes via Approximated Shapes and Functional Expansions
Kensyo NishidaZhongkui Wang*Shinichi Hirai
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Keywords: food, shape, modeling, variation
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Abstract

This manuscript focuses on modeling of two-dimensional food shapes. Foods have much variation in their shapes. This paper presents a method to describe two-dimensional food shapes with variations based on approximated shapes and functional expansions.

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© 2022 The Japan Society of Mechanical Engineers
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