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Joint Austrian Computer Vision and Robotics Workshop 2020
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AUTOMATEDGENERATIONOF3DGARMENTSINDIFFERENTSIZES FROMASINGLESCAN StefanHauswiesner,PhilippGrasmug ReactiveReality {hauswiesner,grasmug}@reactivereality.com Figure1: Resultsof themethod. Abstract. We describe a method to generate addi- tional sizes of a garment from a single scanned size and grading tables. The method helps retailers and manufacturers toefficientlycapturetheirentireprod- uct range,which in turnenablesadvancedARappli- cations suchasvirtual fashion try-on. 1. Introduction Online fashion retailers need 3D models of their entireproduct range toenableadvancede-commerce applications, such as 3D viewing and virtual try-on. These retailers usually have a high number of items andtheproduct rangechangesfrequently. Therefore, to obtain 3D models for their entire product catalog, manualmodeling isnot a feasibleapproach. 3D reconstruction through photogrammetry is more efficient and photo-realistic. However, retail- ers want to avoid the overhead of scanning multiple sizes of a single garment. This document describes adifferentapproachwhichalgorithmicallygenerates the different sizes from a single 3D reconstructed model and the garment’s grading tables, and thereby increases the scalability of photogrammetry. Figure 1shows results. (a) (b) Figure 2: Sizing the mesh. a) semantic classification map. Red parts do not scale with size, green parts scale along a single dimension. b) sizing an upper arm. The color coding shows the body part associa- tion. 2.RelatedWork Previous work in garment modeling generates sizes by adapting a garment to a target body, as op- posed to sizing tables [1]. Other machine-learning- based approaches enable decomposition and assem- bly of new garments but do not allow resizing [2] or rely on templates [4], which inherently limits these approaches toknownshapes. 3.Method Thechallengeofsizesynthesis is thatgarmentsdo not scale uniformly. For example, going from size “Medium” to size “Large”, the scale factor for the length of the sleeves is different from the factor for thecircumferenceof thesleeve. Thewayagarment’s parts scale is described by a grading table. We use this information to adjust the geometry of the model for thedistinct sizes. Furthermore, the fabric of the garment is not 172
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Joint Austrian Computer Vision and Robotics Workshop 2020
Titel
Joint Austrian Computer Vision and Robotics Workshop 2020
Herausgeber
Graz University of Technology
Ort
Graz
Datum
2020
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-85125-752-6
Abmessungen
21.0 x 29.7 cm
Seiten
188
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Informatik
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Joint Austrian Computer Vision and Robotics Workshop 2020