Interactive Deformation of Light Fields


Yichen Wei 


Eyal Ofek

Microsoft Research Asia

Long Quan 


Heung-Yeung Shum 

Microsoft Research Asia






In this paper, we propose a novel image-based approach to model hair geometry from images taken at multiple viewpoints. Unlike previous hair modeling techniques that require intensive user interactions or rely on special capturing setup under controlled illumination conditions, we use a handheld camera to capture hair images under uncontrolled illumination conditions. Our multi-view approach is natural and flexible for capturing. It also provides inherent strong and accurate geometric constraints to recover hair models. In our approach, the hair fibers are synthesized from local image orientations. Each synthesized fiber segment is validated and optimally triangulated from all visible views. The hair volume and the visibility of synthesized fibers can also be reliably estimated from multiple views. Flexibility of acquisition, little user interaction, and high quality results of recovered complex hair models are the key advantages of our method.


Several examples of Hair modeled from images. On the left is one of the frames used for the reconstruction, on the right is the rendered model.


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