Object recognition by deterministic annealing

摘要

In this paper we describe a feature-based approach to object recognition. The correspondence problem is solved by optimization of an energy function. While similar approaches suffer from local minima, we derive an energy function suitable for minimizing by deterministic annealing. Hereby global optimization can be achieved. Algorithms matching model features to image features in a coarse-to-fine manner are described.