Using shape change for object perception: human and artificial vision

这个项目旨在研究视觉系统对物体形状进行编码所采取的步骤，包括那些随着时间改变形状的步骤。该项目寻求利用评估人类视觉和机器学习技术的实验来检查这些代码，特别是关注一个夸大形状随时间变化的系统的优势。预期的结果包括基于卓越的人类性能的改进的形状代码，该代码可以在自动视觉系统中有许多应用。这个项目可以直接惠及动画产业，因为在动画产业中，创造真实的人和动物的运动仍然是一个计算密集的挑战。

This project aims to examine the steps taken by the visual system to code the shape of objects, including those that change shape over time. The project seeks to employ experiments assessing human vision and machine learning techniques to examine these codes and, in particular, focus on the advantages of a system that exaggerates shape change over time. Expected outcomes include an improved shape code based on superior human performance that can have many applications in automated visual systems. This project can directly benefit the animation industries where the creation of realistic movement of humans and animals remains a computationally intensive challenge.