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From 2D to 3D geodesic-based garment matching

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Yayıncı Sürümü - Makale (5.548Mb)

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info:eu-repo/semantics/embargoedAccess

Date

2019-09

Author

Anbarjafari, Gholamreza
Avots, Egils
Madadi, Meysam
Escalera, Sergio
Gonzalez, Jordi
Baro, Xavier
Pallin, Paul

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Citation

Avots, E., Madadi, M., Escalera, S., Gonzàlez, J., Baro, X., Pällin, P., & Anbarjafari, G. (September 30, 2019). From 2D to 3D geodesic-based garment matching. Multimedia Tools and Applications : an International Journal, 78, 18, 25829-25853.

Abstract

A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment and rendered, resulting in augmented images in which the target garment has been retextured using the texture of the source garment. We divide the problem into garment boundary matching based on Gaussian mixture models and then interpolate inner points using surface topology extracted through geodesic paths, which leads to a more realistic result than standard approaches. We evaluated and compared our system quantitatively by root mean square error (RMS) and qualitatively using the mean opinion score (MOS), showing the benefits of the proposed methodology on our gathered dataset.

Source

MULTIMEDIA TOOLS AND APPLICATIONS

Volume

78

Issue

18

URI

https://doi.org/10.1007/s11042-019-7739-5
https://hdl.handle.net/20.500.11782/514

Collections

  • MF - EEM Makale Koleksiyonu [97]
  • Scopus İndeksli Yayınlar Koleksiyonu [609]
  • WoS İndeksli Yayınlar Koleksiyonu [664]



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