Image-based 2-D non-contact human data measurement and its application to automotive seats

Chunyan Liu; Chengyu Yin; Zibo Wu; Fucheng Guo; Yuan Wang; Xiayan Si; Baodong Wang

doi:10.1117/12.2653545

8 December 2022 Image-based 2-D non-contact human data measurement and its application to automotive seats

Chunyan Liu, Chengyu Yin, Zibo Wu, Fucheng Guo, Yuan Wang, Xiayan Si, Baodong Wang

Proceedings Volume 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022); 1247429 (2022) https://doi.org/10.1117/12.2653545
Event: Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 2022, Guilin, China

Abstract

Researchers have begun to pay greater attention to anthropometric measures as technology advances, and measurement technology has switched from contact to non-contact measurement, with non-contact measurement technology increasingly being used in the apparel industry. This paper analyzes, compares, and summarizes 2D non-contact measurement methods. The individual methods of image acquisition, contour recognition, feature point extraction, and dimension fitting for 2D non-contact measurement are introduced. The non-contact body dimension measurement based on computer vision is proposed and initially applied to the body dimension measurement of automotive seats.

Citation Download Citation

Chunyan Liu, Chengyu Yin, Zibo Wu, Fucheng Guo, Yuan Wang, Xiayan Si, and Baodong Wang "Image-based 2-D non-contact human data measurement and its application to automotive seats", Proc. SPIE 12474, Second International Symposium on Computer Technology and Information Science (ISCTIS 2022), 1247429 (8 December 2022); https://doi.org/10.1117/12.2653545

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KEYWORDS

Image processing

Feature extraction

Image segmentation

3D metrology

Cameras

Data acquisition

Image processing algorithms and systems

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