Building 3D Statistical Shape Models of Horticultural Products

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From: Food and Bioprocess Technology(Vol. 10, Issue 11)
Publisher: Springer
Document Type: Report
Length: 268 words

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To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: Byline: Femke Danckaers (1), Toon Huysmans (1), Mattias Van Dael (2), Pieter Verboven (2), Bart Nicolai (2), Jan Sijbers (1) Keywords: Statistical shape model; Parameterization; Apple; Zucchini; Bell pepper Abstract: A method to build a 3D statistical shape model of horticultural products is described. The framework consists of two parts. First, the surfaces of the horticultural products, which are extracted from X-ray CT scans, are registered to obtain meaningful correspondences between the surfaces. In the second part, a statistical shape model is built from these corresponded surfaces, which maps out the variability of the surfaces and allows to generate new, realistic surfaces. The proposed shape modelling method is applied to 30 Jonagold apples, 30 bell peppers, and 52 zucchini. The average geometric registration error between the original instance and the deformed reference instance is 0.015 [+ or -] 0.011 m m for the apple dataset, 0.106 [+ or -] 0.026 m m for the bell pepper dataset, and 0.027 [+ or -] 0.007 m m for the Zucchini dataset. All shape models are shown to be an excellent representation of their specific population, as they are compact and able to generalize to an unseen sample of the population. Author Affiliation: (1) imec - Vision Lab, Department of Physics, University of Antwerp, Universiteitsplein 1, Building N, 2610, Antwerp, Belgium (2) Division of Mechatronics, Biostatistics and Sensors (MeBioS), Department of Biosystems, K.U. Leuven, Kasteelpark Arenberg 30, 3001, Heverlee, Belgium Article History: Registration Date: 02/08/2017 Received Date: 11/04/2017 Accepted Date: 02/08/2017 Online Date: 14/08/2017

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Gale Document Number: GALE|A507476121