作者: P. Viola , W.M. Wells
关键词: Artificial intelligence 、 Real image 、 Image processing 、 Object model 、 Maximization 、 Computer science 、 Computer vision 、 Mutual information 、 Robustness (computer science)
摘要: A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the object, besides its shape, and is robust with respect to variations of illumination. In our derivation, few assumptions are made about the nature of the imaging process. As a result, the algorithms are quite general and can foreseeably be used in a wide variety of imaging situations. Experiments are presented that demonstrate the approach in registering …