Fashion Augmented Reality Try-On System Using Pose Estimation

Author(s)	Swarupa Kamble, Akash Joshi, Suman Jana, Soumyajyoti Dasgupta, Anubhav Agrawal
Country	India
Abstract	The fashion industry's shift towards digital solutions has spurred the development of innovative tools to enhance customer engagement. This project presents a web-based augmented reality (AR) try-on application that allows users to see how garments appear on them in real-time through their device’s camera. By utilizing OpenCV for body detection and garment mapping, the system offers precise virtual clothing overlays, providing shoppers with a realistic and interactive trial experience without visiting physical fitting rooms. Key features of the application include an extensive clothing catalog, AI-driven outfit suggestions, and useful shopping tools like a cart system, social media sharing, and the option to save favorite outfits. By streamlining the shopping process and minimizing dependence on traditional fitting rooms, this platform enhances user convenience, offering a faster and more engaging retail experience.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-02
Cite This	Fashion Augmented Reality Try-On System Using Pose Estimation - Swarupa Kamble, Akash Joshi, Suman Jana, Soumyajyoti Dasgupta, Anubhav Agrawal - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4306
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4306
Short DOI	https://doi.org/g9hbsq

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