A Real-Time Augmented Reality System for Apparel Visualization
Keywords:
Augmented Reality, Fashion, Computer-Vision, Real-Time Systems, Apparel VisualizationAbstract
This paper presents a real-time augmented reality (AR) system for trying on outfits virtually to visualize apparel on the human body. An Augmented Reality-based visualization system is developed that can display chosen clothing styles and designs on a human body while in front of a camera. The objectives are to gather the requirements of the AR visualization system, design the system based on the requirements obtained, and implement, test and evaluate the performance of the system. Operational, non-functional and hardware requirements of the system were elicited via an extensive literature review. The AR system’s architecture was outlined and designed using UML tools like flowchart, use-case and activity diagrams. The apparel visualization system implementation leverages computer vision techniques, real-time image processing and augmented reality visualization. Python 3, Mediapipe v0.8.6.2, OpenCV and Visual Studio Code were utilized in the development of the system. The system was evaluated via beta testing using a survey method with a sample size of twenty-one (21), and a questionnaire tool. The evaluation was based on performance metrics including user experience, responsiveness, accuracy and usability, realism and performance in different lighting conditions. 66.7% had a “good” user experience, 86.7% of the respondents indicated that the system responded adequately, and 76.2% of users responded that the garments aligned correctly with points on their bodies. An average success rate of 48.42% and 8.9 FPS was recorded in bright lighting conditions while a 40.23% success rate and 8.23 FPS when it was darker.
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