Abstract

(a) reconstructed geometry (b) rendering (c) reference photograph (not in input data) (d) rendering (new viewpoint, new lighting) Figure 1: Our method acquires photometric and geometric models of real hairstyles. It computes an accurate geometric model (a) which is used in combination with an image-based rendering technique to produce images (b). The results closely match an actual photograph (c) which is not part of the data set used by our algorithm. The hair can be rendered from arbitrary viewpoints and under arbitrary illumination (d). We accurately capture the shape and appearance of a person’s hairstyle. We use triangulation and a sweep with planes of light for the geometry. Multiple projectors and cameras address the challenges raised by the reflectance and intricate geometry of hair. We introduce the use of structure tensors to infer the hidden geometry between the hair surface and the scalp. Our triangulation approach affords substantial accuracy improvement and we are able to measure elaborate hair geometry including complex curls and concavities. To reproduce the hair appearance, we capture a six-dimensional reflectance field. We introduce a new reflectance interpolation technique that leverages an analytical reflectance model to alleviate cross-fading artifacts caused by linear methods. Our results closely match the real hairstyles and can be used for animation.

Citations