Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This correspondence deals with the problem of designing planar shapes for subpixel image registration. Basic theoretical considerations are shown to lead to a lor bound on location accuracy. Optimal registration marks achieving this bound are discussed. These optimal designs, hover, require very high printing or etching resolution and are inherently very sensitive to variations in the image sampling model (like scaling of grid size and rotation). More robust, optimal and suboptimal "topology-preserving" registration marks are then introduced and analyzed.
['Alfred M. Bruckstein', "Lawrence O'Gorman", 'Alon Orlitsky']
I am writing a research paper on a idea Design of shapes for precise image registration
[{"from": "human", "value": "I am writing a research paper on a idea Design of shapes for precise image registration"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: This correspondence deals with the problem of designing planar shapes for subpixel image registration. Basic theoretical considerations are shown to lead to a lor bound on location accuracy. Optimal registration marks achieving this bound are discussed. These optimal designs, hover, require very high printing or etching resolution and are inherently very sensitive to variations in the image sampling model (like scaling of grid size and rotation). More robust, optimal and suboptimal \"topology-preserving\" registration marks are then introduced and analyzed."}]