Auto accessory segmentation and interactive try-on system

Yi Xuan Zeng, Yu Hang Kuo, Hsu Yung Cheng

研究成果: 書貢獻/報告類型會議論文篇章同行評審


The convenience and diversity of online shopping makes many consumers willing to buy apparel or accessories on the web. In order to make products more attractive to users, many virtual try-on systems are developed for e-commerce applications. This paper proposes an interactive virtual try-on system combined with automatic accessory segmentation. Our system automatically retrieves the hat from images and store them in the try-on system to provide users with subsequent selection. When a user selects the hat that he or she wants to try on, the hat is placed on the proper position of the user in the image. In the stage of accessories segmentation, we perform background elimination and super-pixel segmentation. According to the color information on the hat image, the feature vector generated by the color histogram is used to select super-pixels that belong to the accessories. In the stage of try-on system, we use Kinect, which provides skeleton information, to track the user’s face and gestures. When a user selects the hat, the proposed system reads the corresponding hat information and places the hat in the appropriate location based on the results of the face tracking. The proposed try-on system can reach 30 fps real-time speed in a personal computer.

主出版物標題MultiMedia Modeling - 24th International Conference, MMM 2018, Proceedings
編輯Ahmed Elgammal, Thanarat H. Chalidabhongse, Supavadee Aramvith, Yo-Sung Ho, Klaus Schoeffmann, Chong Wah Ngo, Noel E. O'Connor, Moncef Gabbouj
發行者Springer Verlag
出版狀態已出版 - 2018
事件24th International Conference on MultiMedia Modeling, MMM 2018 - Bangkok, Thailand
持續時間: 5 2月 20187 2月 2018


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10705 LNCS


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