Coding of Shape in Human Vision

该项目旨在提高对物体形状如何在人类视觉中编码的理解。了解对象的形状对于适当地与之交互至关重要。该项目旨在研究人类将局部光块转换为连贯形状描述的能力，并将确定最近识别的线索（代表形状中特征的分布）如何被视觉系统用于执行该任务。由此产生的基于人类视觉的形状编码描述，将有助于设计在人工视觉系统中有效编码图像和创建用于显示的物体图像的方法。

This project aims to improve understanding of how the shape of objects is encoded in human vision. Knowing the shape of an object is critical for interacting with it appropriately. This project aims to study the human ability to convert local patches of light into a coherent shape description and will determine how a recently identified cue, representing the distribution of features in a shape, is used by the visual system to perform this task. The resulting description of shape coding, based on human vision, will help design methods for both efficiently encoding images in artificial vision systems and for creating images of objects for display.