Automatic block pattern generation from 3d unstructured point cloud

H. Huang, Pik Yin Mok, Y.L. Kwok, Sau Chuen Joe Au

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Accurate and fit garment patterns are fundamentally important in garment manufacturing. Even though virtual body can now be obtained by 3D scanning, the problem of generating patterns from a 3D virtual body is still challenging because the mapping from 3D body to 2D patterns is constrained by complex garment style information and sewing definitions. This paper presents a new approach for generating 2D block patterns directly from scanned 3D unstructured points of human body. The new approach consists of a series of steps from body recognition, body modelling, to pattern fori-nation. In the paper, algorithms for body feature extraction and body modelling are first described, the relationship between human body, patterns and darts are then investigated, and pattern creation through automatic dart transformation are thus developed. The paper has demonstrated the proposed method can generate 2D block patterns from 3D unstructured point cloud.
Original languageEnglish
Title of host publication86th Textile Institute World Conference, Vol 3, Conference Proceedings
PublisherThe Hong Kong Polytechnic University
Publication statusPublished - 2008
Event86th Textile-Institute World Conference - , Hong Kong
Duration: 18 Nov 200821 Nov 2008


Conference86th Textile-Institute World Conference
Country/TerritoryHong Kong


  • Block generation
  • Body segmentation
  • Clustering body surface


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