We propose a method to estimate the mechanical parameters of fabrics using a casual
capture setup with a depth camera. Our approach enables to create mechanically‐correct …

In studying visual perception, we seek to develop models of processing that accurately
predict perceptual judgments. Much of this work is focused on judgments of discrimination …

We present a neural network learning approach for estimating a set of cloth simulation
parameters from a static drape of a given fabric. We use a variant of Cusick's drape, which is …

The softness of objects can be perceived through several senses. For instance, to judge the
softness of a cat's fur, we do not only look at it, we often also run our fingers through its coat …

Shape-deforming processes (eg, squashing, bending, twisting) can radically alter objects'
shapes. After such a transformation, some features are due to the object's original form …

The appearance of fabric motion is suggested to affect the human perception of bending
stiffness. This study presents a novel spatial augmented reality, or projection mapping …

Fabric materials are central to recreating realistic appearance of avatars in a virtual world
and many VR applications, ranging from virtual try-on, teleconferencing, to character …

Humans can judge the softness of elastic materials through only visual cues. However,
factors contributing to the judgment of visual softness are not yet fully understood. We …

How similar a virtual product is to a real product is one of the most important issues when
using virtual simulation to develop real apparel designs. The first step to achieve high …

Cloth is a common material, and humans can visually estimate its mechanical properties by
observing how it deforms under external forces. Here, we ask whether and how dynamic …