Abstract
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.
Highlights
Today, mobile commerce and online sales are increasing at a rapid rate
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
Summary
Mobile commerce and online sales are increasing at a rapid rate. In 2011, mobile traffic on Black Friday was 14.3 percent of all retail traffic compared to 5.6 percent in 2010 [1]. Sales on mobile devices increased to 9.8 percent from 3.2 percent year over year [2]. A large percentage of the purchased items are returned This brings an additional financial burden to retail companies. The objective of this work is to develop a virtual fitting room (VFR) application that can run on any mobile device that has a camera and network connection. This VFR application can enhance the way customers shop online and help them to choose the correct type and size of the clothing item. We first discuss the existing approaches for virtual fitting room applications.
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