JCSE, vol. 11, no. 3, pp.79-91, September, 2017

DOI: http://dx.doi.org/10.5626/JCSE.2017.11.3.79

Abdominal-Deformation Measurement for a Shape-Flexible Mannequin Using the 3D Digital Image Correlation

Huan Liu, Kuangrong Hao, and Yongsheng Ding
Key Laboratory of Watershed Ecology and Geographical Environment Monitoring NASG, Jinggangshan University & College of Electronic and Information Engineering, Jinggangshan University, Ji??셬, Jiangxi, China Engineering Research Center of Digital Textile & Apparel Technology, Ministry of Education, College of Information Science and Technology, Donghua University, Shanghai, China

Abstract: In this paper, the abdominal-deformation measurement scheme is conducted on a shape-flexible mannequin using the DIC technique in a stereo-vision system. Firstly, during the integer-pixel displacement search, a novel fractal dimension based on an adaptive-ellipse subset area is developed to track an integer pixel between the reference and deformed images. Secondly, at the subpixel registration, a new mutual-learning adaptive particle swarm optimization (MLADPSO) algorithm is employed to locate the subpixel precisely. Dynamic adjustments of the particle flight velocities that are according to the deformation extent of each interest point are utilized for enhancing the accuracy of the subpixel registration. A test is performed on the abdominal-deformation measurement of the shape-flexible mannequin. The experiment results indicate that under the guarantee of its measurement accuracy without the cause of any loss, the time-consumption of the proposed scheme is significantly more efficient than that of the conventional method, particularly in the case of a large number of interest points.

Keyword: Abdominal-deformation measurement; 3D digital-image correlation; Integer-pixel displacement search; Subpixel-registration resolution; Mutual-learning adaptive particle swarm optimization (MLADPSO)

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