篇名 |
Virtual Makeup Based on Golden Sample Search
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並列篇名 | Virtual Makeup Based on Golden Sample Search |
作者 | Ping Wang、Mao-Hsiung Hung、Chaur-Heh Hsieh、Jen-Yang Chen |
英文摘要 | Virtual makeup is expected to provide customers with an approximate experience of actual trial. This paper proposes a novel virtual makeup system based on golden-sample search scheme. A golden-sample database is built offline, which contains canonical patterns of facial components to be made-up. A novel feature representation of the pattern is developed, which makes the golden-sample search effective and efficient. In online phase, users select the markup region and colors they like. The representative feature vector of the selected markup region is used to search the database to find the best-matching pattern. Then, the best-matching pattern is colored and stitched to the input image. The system can process the dynamic image from camera, and thus the user can observe whether the makeup effect under different facial poses is appropriate, and then make corresponding makeup adjustments. The experimental results indicate our system provides nature and good visual effects in makeup.
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起訖頁 | 1225-1231 |
關鍵詞 | Virtual makeup、Golden sample search、Image stitching |
刊名 | 網際網路技術學刊 |
期數 | 202211 (23:6期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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