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High Quality Facial Capture using Binary Spherical Gradient Illumination
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lattas, Alexandros Zhu, Yuan Ghosh, Abhijeet |
| Copyright Year | 2019 |
| Abstract | We present a high quality facial capture system that employs unpolarized binary spherical gradient illumination. Our capture setup consists of the Imperial Multispectral LED sphere with 168 LED lighting nodes and a multiview facial capture setup consisting of 9 DSLR cameras (Canon 800D) (Figure 1, top). For acquisition, we employ only the white LEDs on the LED sphere (Philips Color Kinetics iW MR gen3) to illuminate a subject with 6 binary spherical gradient illumination conditions (along principal X, Y and Z directions and their complements) as proposed by Kamprouris et al. [1] (Figure 1, bottom). We rapidly acquire a face under these 6 binary illumination conditions from our 9 cameras operating in burst mode to minimize any subject motion during capture. The data acquired is then employed for both multiview facial geometry reconstruction and for high quality reflectance separation and estimation of separated diffuse and specular photometric normals for rendering. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.cvmp-conference.org/files/2019/short/44.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
