LiDAR Try-On
Project
Exploring LiDAR Technology and 3D Body Scanning
Role
Creative Technologist
Description
The proposed LiDAR Try-On mobile app uses LiDAR (Light Detection and Ranging) technology to create personalized, immersive virtual experiences. Precise 3D body scanning would give users accurate measurements and a digital representation of their own bodies, without relying on generic avatars.
This project gave me an opportunity to explore LiDAR technology and its applications in fashion. I learned about 3D body scanning, the challenges of creating accurate digital representations, and the practical considerations of bringing these capabilities to a consumer mobile app. This exploration led me to propose an app that would let users virtually try on clothes and see themselves in AR/VR spaces.
Currently, LiDAR-equipped mobile devices can still produce raw 3D scans with glitches and imperfections. External software is often needed to correct these scans and produce a refined 3D body model for accurately mapping digital garments to a user's measurements.
Looking ahead, I see significant potential for LiDAR in fashion. My vision is for mobile devices alone to produce highly accurate scans, enabling immersive virtual try-ons at home through augmented and virtual reality. The integration of Artificial Intelligence (AI) could streamline this process by automating corrections and improving scan accuracy and garment mapping. Exploring how LiDAR and AI work together is a promising direction for further development in fashion technology.
What Am I Augmenting?
The goal is to improve virtual try-ons through precise LiDAR body scanning, giving users accurate measurements and a digital representation of their own bodies instead of generic avatar recommendations.
Context
LiDAR technology on mobile devices has significant potential. These compact systems can efficiently capture detailed environmental data. Their range and scanning capabilities support more accurate object detection, including the depth of objects and the spatial relationships between them.
Problem
Creating digital profiles often relies on manual data entry, which can frustrate users and discourage them from sharing personal data. Manual entry is also prone to inaccuracies and human error, reducing the reliability of those profiles.
Welcome Page
Welcome to LiDAR Try-On. This screen introduces users to the virtual try-on experience and lets them create an account or sign in.
Sign-Up Page
As part of sign-up, users provide explicit consent by agreeing to the app's Privacy Policy. They are informed that they can withdraw consent at any time, giving them control over their personal data.
Home Page
The home page is the hub for the user's personalized experience. Users can manage their profile and start a LiDAR scan to begin a virtual try-on.
How to Scan
This section offers tips and scanning techniques to help users capture accurate, detailed LiDAR scans.
Processing the Scan
This stage converts raw LiDAR data into precise body measurements. It explains the data processing, algorithmic measurements, and quality checks needed to produce an accurate 3D body model.
Go Shopping
The shopping concept uses LiDAR scans to show realistic, real-time motion capture of garments on the user's own 3D body model. This approach would support personalized recommendations, helping users find garments with less time and effort. The streamlined interface is also intended to reduce the number of clicks needed to shop.
Measurement
LiDAR Try-On begins with precise body measurements. During scanning, users stand with their feet apart and arms extended to capture a complete 3D body model for digital garment design. Garment designs can then be overlaid on the scanned body to create a realistic virtual try-on experience.
The proposed platform combines virtual try-ons with quick, easy sharing options. It aims to help users find a more accurate fit than traditional online shopping allows. By collecting data and applying machine learning, the app could also expand e-commerce opportunities, increase in-app engagement, and support social sharing.
Discover Model
The proposed "Discover Model" feature connects stylists and consumers through augmented reality. Users could view garments on a range of models and find body types and styles that reflect their own.
These interactions could provide insights into user behavior and preferences, supporting demand forecasting and supply chain planning. The feature aims to help brands match consumers with products they want and offer a more efficient, personalized shopping experience.
AR/VR
The proposed AR/VR Space brings garments into the user's real environment. Pressing the AR button would place their scanned body or a chosen model, wearing a selected garment, in their physical surroundings.
Users could pinch to resize the virtual model and garment to suit their space. They could explore how garments look and move in different settings, from a living room to an outdoor scene, and share their AR try-ons with friends or stylists.