Hair Photobooth: Geometric and Photometric Acquisition of Real Hairstyles
Sylvain Paris, Will Chang, Oleg I. Kozhushnyan, Wojciech Jarosz, Wojciech Matusik, Matthias Zwicker, Frédo Durand
In ACM Transactions on Graphics, 27(3), August 2008.
Abstract: 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.
Keyword(s): active vision, hair, image-based rendering
@article{Paris:2008:HPG,
author = {Sylvain Paris and Will Chang and Oleg I. Kozhushnyan and Wojciech Jarosz and Wojciech Matusik and Matthias Zwicker and Frédo Durand},
title = {Hair Photobooth: Geometric and Photometric Acquisition of Real Hairstyles},
journal = {ACM Transactions on Graphics},
volume = {27},
number = {3},
pages = {30:1--30:9},
month = aug,
year = {2008},
}
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