Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an approach to match feature point of a pair of 3- dimensional affine model images. The affine transferring parameters are computed by a set of corresponding feature points, which are obtained based on 2D Hopfield neural network. The design of energy function of the neural network optimizes the matching error of the feature points. Two affine geometric constraints, epipolar and homography are used without the restriction to scene's particularity. A pair of affine model images tests the performance of the proposed method.
['Jinsi Tian', 'Jianbo Su']
I am writing a research paper on a idea Feature point matching of affine model images using hopfield network
[{"from": "human", "value": "I am writing a research paper on a idea Feature point matching of affine model images using hopfield network"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an approach to match feature point of a pair of 3- dimensional affine model images. The affine transferring parameters are computed by a set of corresponding feature points, which are obtained based on 2D Hopfield neural network. The design of energy function of the neural network optimizes the matching error of the feature points. Two affine geometric constraints, epipolar and homography are used without the restriction to scene's particularity. A pair of affine model images tests the performance of the proposed method."}]