"Shape Capsules" could potentially be related to the field of computer vision, graphics, or machine learning. In the context of computer vision, capsules refer to a type of neural network architecture proposed to improve the recognition and understanding of hierarchical visual structures. These structures can include various attributes of objects, such as their shape, pose, and texture. The term "Shape Capsules" might specifically highlight capsules designed to understand and represent the shapes of objects within an image. Capsules, in this sense, could be specialized units within a neural network that encode information about the spatial arrangement and features of different shapes present in visual data.