THE METHOD OF OBJECTS' DETECTION AND RECOGNITION BASED ON MATCHING OF SETS OF IMAGE POINTS WITH INVARIABLE PROPERTY
Liang De · Chinese Journal of Computers · 1999
Many of objects in images can be presented by some important points on them(e.g. corner points or edge points).The recognition task can be completed through matching these points. This paper proposes a new definition of the distance between two sets of image points, this definition has invariant property for rotation, translation, variance of scaling and the order of alignment of these points, and the distance is unique in some ranges.Based on this distance, this paper introduces a new algorithm that can not only detect and recognize objects which may be translated, rotated and scaled variation on complex background,but also shows a good property when part of object being occlusions. So a new effective method is given for the recognition that based on the set of image points.