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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.05339 |
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| _version_ | 1866929206362898432 |
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| author | Chong, Toby Chadwick, Alina Shen, I-chao Xie, Haoran Igarashi, Takeo |
| author_facet | Chong, Toby Chadwick, Alina Shen, I-chao Xie, Haoran Igarashi, Takeo |
| contents | In this paper, we present a cosmetic-specific skin image dataset. It consists of skin images from $45$ patches ($5$ skin patches each from $9$ participants) of size $8mm^*8mm$ under three cosmetic products (i.e., foundation, blusher, and highlighter). We designed a novel capturing device inspired by Light Stage. Using the device, we captured over $600$ images of each skin patch under diverse lighting conditions in $30$ seconds. We repeated the process for the same skin patch under three cosmetic products. Finally, we demonstrate the viability of the dataset with an image-to-image translation-based pipeline for cosmetic rendering and compared our data-driven approach to an existing cosmetic rendering method. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_05339 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | MicroGlam: Microscopic Skin Image Dataset with Cosmetics Chong, Toby Chadwick, Alina Shen, I-chao Xie, Haoran Igarashi, Takeo Computer Vision and Pattern Recognition Graphics In this paper, we present a cosmetic-specific skin image dataset. It consists of skin images from $45$ patches ($5$ skin patches each from $9$ participants) of size $8mm^*8mm$ under three cosmetic products (i.e., foundation, blusher, and highlighter). We designed a novel capturing device inspired by Light Stage. Using the device, we captured over $600$ images of each skin patch under diverse lighting conditions in $30$ seconds. We repeated the process for the same skin patch under three cosmetic products. Finally, we demonstrate the viability of the dataset with an image-to-image translation-based pipeline for cosmetic rendering and compared our data-driven approach to an existing cosmetic rendering method. |
| title | MicroGlam: Microscopic Skin Image Dataset with Cosmetics |
| topic | Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2401.05339 |