젖은 곱슬머리의 컬 과장, 응집력, 접착력 및 강성 표현
Representation of Curl Exaggeration, Cohesion, Adhesion and Stiffness in Wet Curly Hair
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초록
물리 기반 시뮬레이션에서 젖은 머리카락이나 털의 응집력과 뻣뻣함을 시뮬레이션 하는 것은어려운 문제 중 하나이다. 젖은 머리카락이나 털은 끝부분이 뭉치고 뻣뻣해지는 것이 특징이며, 이는 젖은 동물의 털이나 머리카락에서 볼 수 있는 현상이다. 또한 젖은 머리카락은 고체와 상호작용을 하면 접착력이 발생하지만, 이 문제는 곱슬머리에서 힘의 분산과 균형이 달라지기 때문에해결하기 어려워진다. 기존 방법에서는 수작업을 통해 젖은 머리를 표현하거나 정적인 헤어스타일로 젖은 곱슬머리 및 털을 표현한다. 그러나 젖은 곱슬머리의 디테일을 묘사하는 방법에 대한연구는 아직 활발히 연구되지 않았다. 따라서 본 논문에서는 젖은 곱슬머리의 컬 과장, 응집력, 접착력 그리고 강성을 효율적으로 모델링하는 새로운 알고리즘을 제안한다. 제안하는 방법은 응집력을 효율적으로 시뮬레이션하고 강성 제약 조건을 곱슬머리 역학과 통합하여 안정적으로 모발의 탄성을 제어한다.
Abstract
Simulating the cohesion and stiffness of wet hair or fur in physics-based simulations is one of the most challenging problems. Wet hair or fur is characterized by bunching and stiffening at the ends, a phenomenon that can be seen in wet animal fur or hair. In addition, when wet hair interacts with a solid, adhesion occurs, but this problem becomes difficult to solve due to the different distribution and balance of forces in curly hair. In traditional methods, wet hair is represented by hand or by using static hairstyles to represent wet curls and hair. However, how to depict the details of wet curly hair has not been actively researched. In this paper, we propose a new algorithm to efficiently model the curl exaggeration, cohesion, adhesion, and stiffness of wet curly hair. The proposed method efficiently simulates cohesion and integrates stiffness constraints with curl dynamics to reliably control hair elasticity.
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