Abstract We propose a novel algorithm to reconstruct the 3D geometry of human hairs in wide-baseline setups using strand-based refifinement. The hair strands are fifirst extracted in each 2D view, and projected onto the 3D visual hull for initialization. The 3D positions of these strands are then refifined by optimizing an objective function that takes into account cross-view hair orientation consistency, the visual hull constraint and smoothness constraints defifined at the strand, wisp and global levels. Based on the refifined strands, the algorithm can reconstruct an approximate hair surface: experiments with synthetic hair models achieve an accuracy of ∼3mm. We also show real-world examples to demonstrate the capability to capture full-head hair styles as well as hair in motion with as few as 8 cameras.