A study on garment wrinkle detection through a 3D camera scanning with normal map and Hough transform

Makoto Takamatsu; Eizaburo Iwata; Takao Furukawa; Makoto Hasegawa

doi:10.1117/12.2521408

22 March 2019 A study on garment wrinkle detection through a 3D camera scanning with normal map and Hough transform

Makoto Takamatsu, Eizaburo Iwata, Takao Furukawa, Makoto Hasegawa

Proceedings Volume 11049, International Workshop on Advanced Image Technology (IWAIT) 2019; 110492U (2019) https://doi.org/10.1117/12.2521408
Event: 2019 Joint International Workshop on Advanced Image Technology (IWAIT) and International Forum on Medical Imaging in Asia (IFMIA), 2019, Singapore, Singapore

Abstract

We discuss material properties of different garment wrinkles. Subjects wear three kinds of different fabric garment: polyester, cotton, and linen. Scanning the subject's 3D body shape using a RGB-D camera and getting a 3DCG model of them. Generating a normal polygonal image applying a baking process. High-poly mesh is generated from low-poly mesh of the 3DCG model, and multiple high polygons are mapped into a low polygon. Computing the normal vectors of the high polygons on the low-poly mesh, generators our normal map image through this process. Garment wrinkles are detected by straight-line recognition on the normal map using Hough transform. Measuring the number of the garment wrinkles, the variation in the direction and position of garment wrinkles, and the length distribution . All properties of the garment wrinkle is necessary for an analysis in our experiment. But it is revealed that the dispersion in the wrinkle direction is important for distinguishing the fabrics.

Citation Download Citation

Makoto Takamatsu, Eizaburo Iwata, Takao Furukawa, and Makoto Hasegawa "A study on garment wrinkle detection through a 3D camera scanning with normal map and Hough transform", Proc. SPIE 11049, International Workshop on Advanced Image Technology (IWAIT) 2019, 110492U (22 March 2019); https://doi.org/10.1117/12.2521408

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