NSF Young Investigator

形状是认识图片中物体的重要线索。然而，形状很难在用于对象识别的计算机程序中描述和使用，因为对象在从不同视角拍摄的图像中看起来不同。对于弯曲的三维对象，这种效果尤其明显。最近的工作表明，对于一些曲面，可以计算出仅利用单个图像的信息进行描述，并且对于给定曲面的每一种可能的视图都是相同的。这些不变描述符会立即识别一个对象，直到已知的模糊性。这项研究调查了对象识别的高级系统，该系统使用不变描述符和颜色信息的组合来识别从未知观看位置拍摄的照片中的曲线三维对象，这些对象来自大量已知示例。//

Shape is an important cue in rcognizing objects in pictures. Shape is, however, difficult to describe and use in computer programs for object recognition, because objects appear different in images taken from different viewpoints. This effect is particularly pronounced for curved three-dimensional objects. Recent work has shown that, for some surfaces, it is possible to compute descriptions that draw only on information from a single picture, and are the same for every possible view of a given surface. These invariant descriptors instantly identify an object, up to a known ambiguity. This research investigates advance systems for object recognition that use a combination of invariant descriptors and color information to recognize curved three- dimensional objects, drawn from a large number of known examples, in pictures taken from an unknown viewing position.//