Qasi-developable garment transfer for animals

Fumiya Narita, Shunsuke Saito, Tsukasa Fukusato, Shigeo Morishima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


In this paper, we present an interactive framework to model garments for animals from a template garment model based on correspondences between the source and the target bodies. We address two critical challenges of garment transfer across significantly different body shapes and postures (e.g., for quadruped and human); (1) ambiguity in the correspondences and (2) distortion due to large variation in scale of each body part. Our efficient cross-parameterization algorithm and intuitive user interface allow us to interactively compute correspondences and transfer the overall shape of garments. We also introduce a novel algorithm for local coordinate optimization that minimizes the distortion of transferred garments, which leads a resulting model to a quasi-developable surface and hence ready for fabrication. Finally, we demonstrate the robustness and effectiveness of our approach on a various garments and body shapes, showing that visually pleasant garment models for animals can be generated and fabricated by our system with minimal effort.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2017 Technical Briefs, SA 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450354066
Publication statusPublished - 2017 Nov 27
EventSIGGRAPH Asia 2017 Technical Briefs, SA 2017 - Bangkok, Thailand
Duration: 2017 Nov 272017 Nov 30

Publication series

NameSIGGRAPH Asia 2017 Technical Briefs, SA 2017


OtherSIGGRAPH Asia 2017 Technical Briefs, SA 2017


  • Developable optimization
  • Garment modeling Interactive correspondence mapping

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software
  • Computer Vision and Pattern Recognition


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