Hair Interpolation for Portrait Morphing

• Yanlin Weng¹
• Lvdi Wang²
• Xiao Li³
• Menglei Chai¹
• Kun Zhou¹

• ¹Zhejiang University
• ²Microsoft Research Asia
• ²University of Science and Technology of China

Six input hair models (S₀ - S₅) and 22 new output models generated automatically using our N-way interpolation algorithm. Each output's position in the above layout reflects its relative weights for the corresponding input models.

Abstract

In this paper we study the problem of hair interpolation: given two 3D hair models, we want to generate a sequence of intermediate hair models that transform from one input to another both smoothly and aesthetically pleasing. We propose an automatic method that efficiently calculates a many-to-many strand correspondence between two or more given hair models, taking into account the multi-scale clustering structure of hair. Experiments demonstrate that hair interpolation can be used for producing more vivid portrait morphing effects and enabling a novel example-based hair styling methodology, where a user can interactively create new hairstyles by continuously exploring a "style space" spanning multiple input hair models.

Keywords

hair modeling, hair interpolation, image morphing

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