Abstract
We present a virtual try-on system - EON Interactive Mirror - that employs one Kinect sensor and one High-Definition (HD) Camera. We first overview the major technical components for the complete virtual try-on system. We then elaborate on several key challenges such as calibration between the Kinect and HD cameras, and shoulder height estimation for individual subjects. Quality of these steps is the key to achieving seamless try-on experience for users. We also present performance comparison of our system implemented on top of two skeletal tracking SDKs: OpenNI and Kinect for Windows SDK (KWSDK). Lastly, we discuss our experience in deploying the system in retail stores and some potential future improvements. © 2012 Springer-Verlag Berlin Heidelberg.
Author supplied keywords
Cite
CITATION STYLE
Giovanni, S., Choi, Y. C., Huang, J., Khoo, E. T., & Yin, K. (2012). Virtual try-on using kinect and HD camera. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7660 LNCS, pp. 55–65). Springer Verlag. https://doi.org/10.1007/978-3-642-34710-8_6
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
