A new method for accurate, high-throughput volume estimation from three 2D projective images
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Chopin, J., Laga, H.
ORCID: 0000-0002-4758-7510 and Miklavcic, S.J.
(2016)
A new method for accurate, high-throughput volume estimation from three 2D projective images.
International Journal of Food Properties, 20
(10).
pp. 2344-2357.
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Abstract
In this article, a new method for estimating the volume of selected fruits and vegetables, using information obtained from three orthogonal images of the object is proposed. The method was based on a novel lower bound on this volume, combined with an application of a well-known upper bound. The lower bound was obtained by calculating the volume of an artificial object created from the intersection of the three object silhouettes. The method was applied to a significant range of food products and simple geometric objects, and it was found that the method estimated volume with approximately 11.9% error, generally, and 2%, for rounded objects, specifically.
| Item Type: | Journal Article |
|---|---|
| Murdoch Affiliation(s): | School of Engineering and Information Technology |
| Publisher: | Taylor & Francis |
| URI: | http://researchrepository.murdoch.edu.au/id/eprint/35499 |
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