Data-driven and anisotropic tearing for cloth simulation

Karaöz, Mustafa Mert
Cloth simulations improve realism of video games by extending interactivity of virtual environment and characters. Cloth is a heterogeneous material and it has anisotropic features which can increase immersion especially in a tearing scenario. Today, most video games ignore this fact mainly due to its complexity. However, style of the final output is highly valuable for video games and addition of anisotropic tearing can improve output quality. Shape of cloths can change, meaning that relative distance of two points on the cloth is not fixed. However, cloths try to conserve original shape and respond to physical changes. Generated response due to change in relative distance of two points is known as stress. Tearing occurs when stress values are higher than an anisotropic property of cloths, tensile strength limit. This thesis proposes a new method to make cloth simulations more realistic by calculating a data driven and anisotropic tensile strength limit. Tearing have similar significance to elasticity according to a user study that was conducted with 14 users. Our results show that, users can estimate cloth elasticity level. However, if cloths have similar elasticity level, then users confuse these cloths and can not guess cloth type correctly. Therefore, these results provide evidence to using same elasticity data for different cloths with similar elasticity level is possible, users will not be able to perceive the difference.


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Citation Formats
M. M. Karaöz, “Data-driven and anisotropic tearing for cloth simulation,” M.S. - Master of Science, Middle East Technical University, 2015.