Implementation Simple Fitting System Using Image Recognition for Portable Device

2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) Pub Date : 2020-08-30 DOI:10.1109/CCECE47787.2020.9255772

Hsin-Yu Huang, Yong-Yi Fanjiang, Ting Hsuan Lee, Chia-An Lee, Tzu Min Zhang, Wei-De Li

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Abstract

Most fitting systems have to rebuild the 2D or 3D clothes or human body models, but only few manufacturers spend time and cost to re-draw these virtual models. And most fitting systems also deployed base on PC. This study proposes to implement simple fitting system for portable device that deployed in an embedded system with a touch panel, light and a build-in camera. Users can search to their favorite websites to select the desired clothes, and use the built-in camera to take portrait photo or to select the preset user image that has been stored inside the system. In the system processes images without need for an external processing unit based on embedded system. The requirements of image capturing, target detection, allocate target position, and implementing based as embedded system on the programming language with image recognition library. User can immediately see the image of the selected clothes worn on them. This makes it easily to view the dressing photo of favorite the clothes from the website, so that users can choose clothes quickly and easily.

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基于图像识别的便携式设备简易装配系统的实现

大多数试衣系统必须重建2D或3D服装或人体模型，但只有少数制造商花费时间和成本重新绘制这些虚拟模型。大多数健身系统也是基于个人电脑部署的。本研究提出了一种简单的便携式设备安装系统，该系统部署在一个嵌入式系统中，具有触摸面板，灯和内置摄像头。用户可以搜索到自己喜欢的网站，选择想要的衣服，并使用内置的摄像头拍摄人像照片或选择已存储在系统中的预设用户形象。在该系统中，图像处理不需要基于嵌入式系统的外部处理单元。基于嵌入式系统的图像采集、目标检测、目标位置分配等要求，采用图像识别库编程语言实现。用户可以立即看到所选择的衣服穿在他们身上的图像。这样可以方便地在网站上查看自己喜欢的衣服的穿着照片，让用户可以快速方便地选择衣服。

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2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)

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