Online Trial Room based on Human Body Shape Detection

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D. M. Anisuzzaman 1,* Md. Hosne Al Walid 1 A. F. M. Saifuddin Saif 2

1. Department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh

2. Department of Computer Science, American International University-Bangladesh, Dhaka, Bangladesh

* Corresponding author.


Received: 4 Dec. 2018 / Revised: 14 Dec. 2018 / Accepted: 20 Dec. 2018 / Published: 8 Feb. 2019

Index Terms

Online trial room, human body shape detection


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


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