International Journal of Image, Graphics and Signal Processing(IJIGSP)
ISSN: 2074-9074 (Print), ISSN: 2074-9082 (Online)
Published By: MECS Press
IJIGSP Vol.11, No.2, Feb. 2019
Online Trial Room based on Human Body Shape Detection
Full Text (PDF, 806KB), PP.21-29
High returning rate of garments products have become a notable problem for online fashion shopping. This problem is partially caused by using different standards for measuring cloth sizes on different websites. In this research, we have designed a set of equipment to capture images of t-shirts of any color and propose an automatic cloth measurement approach using image processing techniques. A method has been introduced to recognize feature points, which has been used to calculate the cloth sizes. The method has provided a useful and efficient tool for cloth measurement. The photographs have been taken in a controlled environment, and then clothes have been categorized with the proportions of the neck, shoulder, chest width, upper waist, lower waist, and length. In this method, we have measured the t-shirt size for men by calculating the chest width and length of men. For this, a dataset has been created in a specific environment. This method has integrated with a web-based application. We have validated our work by calculating RMSE values.
Cite This Paper
D. M. Anisuzzaman, Md. Hosne Al Walid, A. F. M. Saifuddin Saif, "Online Trial Room based on Human Body Shape Detection", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.11, No.2, pp. 21-29, 2019.DOI: 10.5815/ijigsp.2019.02.03
Bulgun, Ender Yazgan, and Alp Kuf. "Development of a component oriented garment design library." In International Conference on Advances in Information Systems, pp. 324-330. Springer, Berlin, Heidelberg, 2000.
Mojarrad, Mousa, Amir MasoudRahmani, and MehrabMohebi. "Detection and pose estimation of people in images." World Academy of Science, Engineering and Technology 49 (2009): 985-990.
Lin, Yueh-Ling, and Mao-Jiun J. Wang. "Automated body feature extraction from 2D images." Expert Systems with Applications 38, no. 3 (2011): 2585-2591.
Srinivasan, Praveen, and Jianbo Shi. "Bottom-up recognition and parsing of the human body." In International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 153-168. Springer, Berlin, Heidelberg, 2007.
Knox, A., L. J. Connell, P. Ulrich, and G. Hutton. "Body scan analysis for fit models based on body shape and posture analysis.” National Textile Center Research Brief (USA). (2003).
Chakraborty, Bhaskar, OgnjenRudovic, and Jordi Gonzalez. "View-invariant human-body detection with extension to human action recognition using component-wise HMM of body parts." In Automatic Face & Gesture Recognition, 2008. FG'08. 8th IEEE International Conference on, pp. 1-6. IEEE, 2008.
Black, Michael J., Oren Freifeld, Alexander W. Weiss, Matthew M. Loper, and Peng Guan. "Parameterized model of 2D articulated human shape." U.S. Patent 9,292,967, issued March 22, 2016.
Wang, Charlie CL, Yu Wang, Terry KK Chang, and Matthew MF Yuen. "Virtual human modeling from photographs for the garment industry." Computer-Aided Design 35, no. 6 (2003): 577-589.
Kohlschütter, Tomáš. "Human body modeling by the development of the automatic landmarking algorithm: technical report no. DCSE/TR-2012-11." (2012).
Kart, Ozge, Alp Kut, ArzuVuruskan, and Ender Bulgun. "Web Based Digital Image Processing Tool for Body Shape Detection." ICT Innovations 2011, Web Proceedings ISSN 1857-7288 (2012): 139.
Bălan, Alexandru O., and Michael J. Black. "The naked truth: Estimating body shape under clothing." In European Conference on Computer Vision, pp. 15-29. Springer, Berlin, Heidelberg, 2008.
Nakajima, Chikahito, Massimiliano Pontil, Bernd Heisele, and Tomaso Poggio. "Full-body person recognition system." Pattern recognition 36, no. 9 (2003): 1997-2006.
Artisan hut a fair trade organization. Available at: http://www.artisanhutbd.com/size-chart/ [Accessed October 20, 2018].
wikiHow. Available at: https://www.wikihow.com/Take-Clothing-Measurements#Men_sub [Accessed October 22, 2018].