Virtual Try-On System with Accurate Sizing and Real-Time Visualization

Sizing and fit issues have long plagued online garment shopping, resulting in high return rates. The Virtual Try-On System with Accurate Sizing and Real-Time Visualization tackles these challenges by combining powerful 3D scanning and Augmented Reality (AR) technology. Convolutional neural networks (CNNs), machine learning, and digital image processing are used by this technology to extract specific body and apparel traits from 2D photographs and create lifelike 3D models for an immersive try-on experience. The system precisely computes important body measurements, such as hip and shoulder sizes, and ensures accurate fit predictions by using techniques like Dense Human Pose Estimation and Expectation-Maximization classifiers. By seamlessly connecting with e-commerce platforms, the Virtual Try-On System boosts user confidence and changes the online shopping process.