VTO: Human Shape and Dimension Estimation for Virtual Try-On

The cutting-edge Virtual Try-On (VTO) platform integrates augmented reality, computer vision, and WebGL graphics to ease online clothes shopping. Customers digitally try on various garments like shirts and hoodies, reducing the need for physical visits and addressing high return rates. VTO accurately measures the human body and provides sizing recommendations, enhancing user experience and satisfaction. Augmented reality provides an interactive and realistic sensation of trying on clothes. Moreover, incorporating blockchain technology in VTO systems enhances user data security and transaction speed, revolutionizing online fashion retail for a safer, more personalized experience. The study aims to comprehensively analyze advancements in virtual try-on models to enhance their development and improve body dimension estimation methods. It explores virtual try-on technology, techniques like keypoint detection and body dimension estimation, and assesses their impact on customer satisfaction, including reduced product returns and increased e-commerce conversion rates. Additionally, it investigates integrating blockchain technology into e-commerce payment systems.