Author(s)

Cecilia Garcia Martin, Erdal Oruklu

Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, USA.

This paper presents an image processing design flow for virtual fitting room (VFR) applications, targeting both personal computers and mobile devices. The proposed human friendly interface is implemented by a three-stage algorithm: Detection and sizing of the user's body, detection of reference points based on face detection and augmented reality markers, and superimposition of the clothing over the user's image. Compared to other existing VFR systems, key difference is the lack of any proprietary hardware components or peripherals. Proposed VFR is software based and designed to be universally compatible as long as the device has a camera. Furthermore, JAVA implementation on Android based mobile systems is computationally efficient and it can run in real-time on existing mobile devices.

Virtual Fitting Room; Face Detection; Augmented Reality; Virtual Reality; Human Friendly Interfaces

C. Garcia Martin and E. Oruklu, "Human Friendly Interface Design for Virtual Fitting Room Applications on Android Based Mobile Devices," Journal of Signal and Information Processing, Vol. 3 No. 4, 2012, pp. 481-490. doi: 10.4236/jsip.2012.34061.