Improved image recognition and registration algorithm based on convex hull and affine invariant
改进的基于凸壳仿射不变量的图像识别和配准算法

An improved image recognition and registration algorithm based on convex hull and affine invariant was presented. The convex hulls were extracted from the feature points of the reference and test images, and then the affine invariants were calculated. These invariants were used to establish the correspondence between the convex hull vertices of the test image and the reference image in order to undo the affine transformation between them, and then a feature points matching approach for recognition followed this. This method is very well suited to handle the occasions that the object in the image has undergone an affine transformation and is partly covered.